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ORCIDJun Zhao 0001
赵军
Person information
- unicode name: 赵军
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- Jun Zhao — disambiguation page
- Jun Zhao 0002
![[0000-0001-9096-103X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9096-103X")
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 1 more) - Jun Zhao 0003 — Oxford University, Department of Computer Science, UK (and 3 more)
- Jun Zhao 0004 — Dalian University of Technology, School of Control Science and Engineering, China
- Jun Zhao 0005 — Lattice Semiconductor (and 1 more)
- Jun Zhao 0006 — University of Minnesota, Institute for Mathematics and its Applications (and 1 more)
- Jun Zhao 0007 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Jun Zhao 0008 — Zhejiang University, State Key Lab of Industrial Control Technolog
- Jun Zhao 0009 — Zhejiang University, Zhejiang Key Laboratory of Service Robots
- Jun Zhao 0010 — Shanghai Jiaotong University, Department of Biomedical Engineering, China
- Jun Zhao 0011 — Shandong University, School of Mechanical Engineering
- Jun Zhao 0012 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Jun Zhao 0013 — Masdar Institute of Science and Technology, Masdar City, UAE
- Jun Zhao 0014 — Northwest Normal University, College of Geography and Environment Sciences, Lanzhou, China
- Jun Zhao 0015 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, Kunming, China
- Jun Zhao 0016 (aka: Jun Raymond Zhao) — Jet.com/Walmart Labs, Hoboken, NJ, USA
- Jun Zhao 0017 — Beihang University, School of Computer Science and Engineering, China
- Jun Zhao 0018 — Tongji University, College of Electronic and Information Engineering, Shanghai, China (and 1 more)
- Jun Zhao 0019 — Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China
- Jun Zhao 0020 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Jun Zhao 0021 — Southeast University, School of Electronics Science and Engineering, National and Local Joint Engineering Research Center for Optical Sensing/Communications Integrated Networking, Nanjing, China (and 1 more)
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2020 – today
- 2024
[j29]Xiang Li, Yu-Ning Li, Li-Xin Zhang, Jun Zhao:
Inference for high-dimensional linear expectile regression with de-biasing method. Comput. Stat. Data Anal. 198: 107997 (2024)- [j28]Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Information bottleneck based knowledge selection for commonsense reasoning. Inf. Sci. 660: 120134 (2024) - [j27]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu:
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 32:1-32:19 (2024) - [j26]Runxin Sun, Shizhu He, Jun Zhao, Kang Liu:
Towards Better Quantity Representations for Solving Math Word Problems. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(7): 96:1-96:18 (2024) - [j25]Dianbo Sui, Xiangrong Zeng, Yubo Chen, Kang Liu, Jun Zhao:
Joint Entity and Relation Extraction With Set Prediction Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12784-12795 (2024) - [c265]Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. AAAI 2024: 17817-17825 - [c264]Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. ACL (Findings) 2024: 1193-1215 - [c263]Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu:
ItD: Large Language Models Can Teach Themselves Induction through Deduction. ACL (1) 2024: 2719-2731 - [c262]Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu:
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. ACL (1) 2024: 3268-3281 - [c261]Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. ACL (Findings) 2024: 3476-3503 - [c260]Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu:
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. ACL (Findings) 2024: 3903-3922 - [c259]Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao:
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. ACL (Findings) 2024: 7804-7816 - [c258]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. ACL (1) 2024: 9206-9230 - [c257]Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
MULFE: A Multi-Level Benchmark for Free Text Model Editing. ACL (1) 2024: 13570-13587 - [c256]Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CIKM 2024: 4118-4122 - [c255]Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. LREC/COLING 2024: 3868-3880 - [c254]Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao:
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. LREC/COLING 2024: 10303-10315 - [c253]Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao:
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. LREC/COLING 2024: 11475-11485 - [c252]Shaoru Guo, Yubo Chen, Kang Liu, Ru Li, Jun Zhao:
NutFrame: Frame-based Conceptual Structure Induction with LLMs. LREC/COLING 2024: 12330-12335 - [c251]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao:
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. LREC/COLING 2024: 16539-16549 - [c250]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao:
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. LREC/COLING 2024: 16867-16878 - [c249]Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. LREC/COLING 2024: 17833-17850 - [c248]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. EMNLP 2024: 1354-1365 - [c247]Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. EMNLP 2024: 2670-2683 - [c246]Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. EMNLP 2024: 7713-7724 - [c245]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao:
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. EMNLP (Findings) 2024: 8886-8905 - [c244]Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao:
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation. EMNLP (Findings) 2024: 9399-9416 - [c243]Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu:
ABSEval: An Agent-based Framework for Script Evaluation. EMNLP 2024: 12418-12434 - [c242]Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu:
Commonsense Knowledge Editing Based on Free-Text in LLMs. EMNLP 2024: 14870-14880 - [c241]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu:
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP 2024: 18410-18430 - [c240]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. ICASSP 2024: 9971-9975 - [c239]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao:
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. ICLR 2024 - [c238]Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao:
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. IJCAI 2024: 8855-8859 - [c237]Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models. NAACL (Demonstrations) 2024: 194-206 - [c236]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. NAACL-HLT 2024: 1259-1286 - [c235]Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Shengping Liu, Kang Liu, Shutao Li, Jun Zhao:
Large Language Models With Holistically Thought Could Be Better Doctors. NLPCC (2) 2024: 319-332 - [i92]Jiaxiang Liu, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering. CoRR abs/2402.09911 (2024) - [i91]Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
ControlLM: Crafting Diverse Personalities for Language Models. CoRR abs/2402.10151 (2024) - [i90]Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. CoRR abs/2402.10987 (2024) - [i89]Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu:
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. CoRR abs/2402.11893 (2024) - [i88]Tongxu Luo, Jiahe Lei, Fangyu Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu:
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models. CoRR abs/2402.12851 (2024) - [i87]Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao:
The Da Vinci Code of Large Pre-trained Language Models: Deciphering Degenerate Knowledge Neurons. CoRR abs/2402.13731 (2024) - [i86]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao:
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. CoRR abs/2402.14409 (2024) - [i85]Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. CoRR abs/2402.18154 (2024) - [i84]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. CoRR abs/2402.18344 (2024) - [i83]Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. CoRR abs/2402.19103 (2024) - [i82]Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. CoRR abs/2403.02893 (2024) - [i81]Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents. CoRR abs/2403.02959 (2024) - [i80]Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu:
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. CoRR abs/2403.05130 (2024) - [i79]Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu:
ItD: Large Language Models Can Teach Themselves Induction through Deduction. CoRR abs/2403.05789 (2024) - [i78]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao:
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. CoRR abs/2403.15268 (2024) - [i77]Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. CoRR abs/2403.17733 (2024) - [i76]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao:
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR abs/2404.14741 (2024) - [i75]Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Knowledge Localization: Mission Not Accomplished? Enter Query Localization! CoRR abs/2405.14117 (2024) - [i74]Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Towards Faithful Chain-of-Thought: Large Language Models are Bridging Reasoners. CoRR abs/2405.18915 (2024) - [i73]Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao:
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. CoRR abs/2406.10890 (2024) - [i72]Jiakuan Xie, Pengfei Cao, Yuheng Chen, Yubo Chen, Kang Liu, Jun Zhao:
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation. CoRR abs/2406.11566 (2024) - [i71]Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao:
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. CoRR abs/2406.12382 (2024) - [i70]Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu, Jun Zhao:
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models. CoRR abs/2406.12416 (2024) - [i69]Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu:
Improving Zero-shot LLM Re-Ranker with Risk Minimization. CoRR abs/2406.13331 (2024) - [i68]Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. CoRR abs/2406.16033 (2024) - [i67]Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao:
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. CoRR abs/2406.17231 (2024) - [i66]Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. CoRR abs/2406.17739 (2024) - [i65]Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao:
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. CoRR abs/2406.18085 (2024) - [i64]Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Ziyang Huang, Haotian Xu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu:
Beyond Instruction Following: Evaluating Rule Following of Large Language Models. CoRR abs/2407.08440 (2024) - [i63]Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. CoRR abs/2408.07413 (2024) - [i62]Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. CoRR abs/2408.10682 (2024) - [i61]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. CoRR abs/2408.12194 (2024) - [i60]Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CoRR abs/2409.00617 (2024) - [i59]Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Kang Liu, Jun Zhao:
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. CoRR abs/2409.13183 (2024) - [i58]Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao:
CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance. CoRR abs/2409.13202 (2024) - [i57]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. CoRR abs/2409.13203 (2024) - [i56]Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu:
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. CoRR abs/2410.07331 (2024) - [i55]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao:
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. CoRR abs/2410.09541 (2024) - [i54]Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models. CoRR abs/2410.09542 (2024) - [i53]Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns. CoRR abs/2410.16155 (2024) - 2023
- [j24]Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network. J. Comput. Sci. Technol. 38(4): 834-852 (2023) - [j23]Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, Jun Zhao:
Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision. J. Comput. Sci. Technol. 38(6): 1237-1249 (2023) - [j22]Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Zuyu Zhao, Weijian Sun:
Multi-Turn and Multi-Granularity Reader for Document-Level Event Extraction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 34:1-34:16 (2023) - [j21]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Bidirectional Sentence Ordering with Interactive Decoding. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 45:1-45:15 (2023) - [j20]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Script Event Prediction via Multilingual Event Graph Networks. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 54:1-54:17 (2023) - [c234]Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. AAAI 2023: 12589-12597 - [c233]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Event Process Typing via Hierarchical Optimal Transport. AAAI 2023: 14038-14046 - [c232]Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen:
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. ACL (Findings) 2023: 293-306 - [c231]Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. ACL (2) 2023: 1731-1740 - [c230]Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao:
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. ACL (Findings) 2023: 7189-7198 - [c229]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. ACL (Findings) 2023: 7464-7478 - [c228]Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao:
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. ACL (Findings) 2023: 7709-7721 - [c227]Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao:
EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. ACL (Findings) 2023: 10038-10052 - [c226]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. ACL (Findings) 2023: 12600-12611 - [c225]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL 2023: 38-57 - [c224]Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. EACL 2023: 1032-1042 - [c223]Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao:
Event Ontology Completion with Hierarchical Structure Evolution Networks. EMNLP 2023: 306-320 - [c222]Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao:
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. EMNLP (Demos) 2023: 479-494 - [c221]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. EMNLP (Findings) 2023: 1434-1447 - [c220]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. EMNLP (Findings) 2023: 2312-2333 - [c219]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao:
Large Language Models are Better Reasoners with Self-Verification. EMNLP (Findings) 2023: 2550-2575 - [c218]Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao:
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. EMNLP (Findings) 2023: 4809-4825 - [c217]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu:
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. EMNLP 2023: 5443-5456 - [c216]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. EMNLP (Findings) 2023: 6649-6675 - [c215]Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao:
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. EMNLP (Findings) 2023: 9142-9163 - [c214]Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao:
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. EMNLP (Findings) 2023: 11369-11382 - [c213]Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu:
DiffusionSL: Sequence Labeling via Tag Diffusion Process. EMNLP (Findings) 2023: 12902-12920 - [c212]Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao:
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. EMNLP (Findings) 2023: 14616-14637 - [c211]Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu:
ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. EMNLP (Findings) 2023: 15470-15481 - [c210]Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao:
Learning to Build Reasoning Chains by Reliable Path Retrieval. ICASSP 2023: 1-5 - [c209]Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao:
Multi-Target Semantic Parsing with Collaborative Deliberation Network. IJCNLP (Findings) 2023: 211-221 - [c208]Jiachun Li, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao:
What Events Do Pre-trained Language Models Learn from Text? Probing Event-Based Commonsense Knowledge by Confidence Sorting. NLPCC (1) 2023: 669-681 - [c207]Chenhao Wang, Shaoru Guo, Zhitao He, Zhipeng Xue, Yubo Chen, Kang Liu, Jun Zhao:
CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge. ISWC (Posters/Demos/Industry) 2023 - [i52]Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao:
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules. CoRR abs/2301.02781 (2023) - [i51]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao:
Neural Comprehension: Language Models with Compiled Neural Networks. CoRR abs/2304.01665 (2023) - [i50]Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question. CoRR abs/2305.03458 (2023) - [i49]Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao:
Large Language Models Need Holistically Thought in Medical Conversational QA. CoRR abs/2305.05410 (2023) - [i48]Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. CoRR abs/2305.11725 (2023) - [i47]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. CoRR abs/2305.14211 (2023) - [i46]Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao:
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models. CoRR abs/2308.10252 (2023) - [i45]Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. CoRR abs/2308.13198 (2023) - [i44]Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao:
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. CoRR abs/2308.14353 (2023) - [i43]Yang Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA. CoRR abs/2308.15851 (2023) - [i42]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. CoRR abs/2308.16588 (2023) - [i41]Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu:
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images. CoRR abs/2309.04790 (2023) - [i40]Tongxu Luo, Fangyu Lei, Jiahe Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu:
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering. CoRR abs/2309.12669 (2023) - [i39]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. CoRR abs/2310.05157 (2023) - [i38]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. CoRR abs/2310.10266 (2023) - [i37]Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao:
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. CoRR abs/2310.11246 (2023) - [i36]Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu:
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering. CoRR abs/2310.15075 (2023) - [i35]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. CoRR abs/2310.15147 (2023) - [i34]Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu:
ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook. CoRR abs/2311.07032 (2023) - [i33]Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Jun Zhao, Shengping Liu:
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. CoRR abs/2311.12537 (2023) - 2022
- [j19]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Example-guided stylized response generation in zero-shot setting. Sci. China Inf. Sci. 65(4) (2022) - [j18]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 42:1-42:19 (2022) - [c206]Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao:
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. ACL (demo) 2022: 166-173 - [c205]Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu:
Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. ACL (2) 2022: 283-289 - [c204]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Incremental Intent Detection for Medical Domain with Contrast Replay Networks. ACL (Findings) 2022: 3549-3556 - [c203]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
Logic Traps in Evaluating Attribution Scores. ACL (1) 2022: 5911-5922 - [c202]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Learning to Answer Complex Visual Questions from Multi-View Analysis. CCKS (Evaluation Track) 2022: 154-162 - [c201]Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu:
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. CCL 2022: 281-297 - [c200]Jia Fu, Sirui Li, Hui Ming Yuan, Zhucong Li, Zhen Gan, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu:
CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts. SMM4H@COLING 2022: 143-147 - [c199]Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu:
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. COLING 2022: 1379-1390 - [c198]Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao:
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. COLING 2022: 1697-1707 - [c197]Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li:
Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. COLING 2022: 1865-1874 - [c196]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li:
Generating Temporally-ordered Event Sequences via Event Optimal Transport. COLING 2022: 1875-1884 - [c195]Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao:
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. COLING 2022: 2237-2246 - [c194]Xiusheng Huang, Hang Yang, Yubo Chen, Jun Zhao, Kang Liu, Weijian Sun, Zuyu Zhao:
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. COLING 2022: 2418-2428 - [c193]Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao:
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. EMNLP (Demos) 2022: 1-11 - [c192]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao:
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. EMNLP (Demos) 2022: 148-158 - [c191]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. EMNLP 2022: 480-490 - [c190]Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao:
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. EMNLP 2022: 9253-9265 - [c189]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao:
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer. SemEval@NAACL 2022: 239-246 - [c188]Jia Fu, Zhen Gan, Zhucong Li, Sirui Li, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao:
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities. SemEval@NAACL 2022: 1518-1523 - [i32]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao:
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs. CoRR abs/2204.09220 (2022) - [i31]Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu:
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. CoRR abs/2209.07692 (2022) - [i30]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains. CoRR abs/2210.08763 (2022) - [i29]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Generating Hierarchical Explanations on Text Classification Without Connecting Rules. CoRR abs/2210.13270 (2022) - [i28]Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao:
Large Language Models are reasoners with Self-Verification. CoRR abs/2212.09561 (2022) - 2021
- [j17]Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu:
Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition. Data Intell. 3(3): 389-401 (2021) - [j16]Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
A Unified Shared-Private Network with Denoising for Dialogue State Tracking. J. Comput. Sci. Technol. 36(6): 1407-1419 (2021) - [j15]Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue. Knowl. Based Syst. 227: 107186 (2021) - [j14]Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
Enhancing unsupervised medical entity linking with multi-instance learning. BMC Medical Informatics Decis. Mak. 21-S(9): 317 (2021) - [j13]Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu, Jun Zhao:
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. BMC Medical Informatics Decis. Mak. 21-S(9): 335 (2021) - [c187]Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li:
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering. AAAI 2021: 14638-14646 - [c186]Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao:
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. AAAI 2021: 16114-16116 - [c185]Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Jun Zhao:
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. ACL (demo) 2021: 92-98 - [c184]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. ACL/IJCNLP (Findings) 2021: 2162-2172 - [c183]Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao:
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. ACL/IJCNLP (1) 2021: 2807-2818 - [c182]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. ACL/IJCNLP (1) 2021: 3558-3571 - [c181]Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie, Weijian Sun:
Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. ACL/IJCNLP (Findings) 2021: 4791-4803 - [c180]Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng:
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. ACL/IJCNLP (1) 2021: 4862-4872 - [c179]Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu:
Alignment Rationale for Natural Language Inference. ACL/IJCNLP (1) 2021: 5372-5387 - [c178]Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong, Shengping Liu:
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. ACL/IJCNLP (1) 2021: 5948-5957 - [c177]Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang:
Document-level Event Extraction via Parallel Prediction Networks. ACL/IJCNLP (1) 2021: 6298-6308 - [c176]Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Does BERT Know Which Answer Beyond the Question? CCKS (Evaluation Track) 2021: 69-81 - [c175]Zhen Gan, Zhucong Li, Baoli Zhang, Jing Wan, Yubo Chen, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
Enhance Both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction. CCKS (Evaluation Track) 2021: 92-101 - [c174]Xiusheng Huang, Yubo Chen, Kang Liu, Yuantao Xie, Weijian Sun, Jun Zhao:
NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning. CCKS 2021: 157-170 - [c173]Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. CCKS 2021: 198-210 - [c172]Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi:
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. CIKM 2021: 2900-2904 - [c171]Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang:
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. CIKM 2021: 3578-3582 - [c170]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li:
Multi-Task Self-Supervised Learning for Script Event Prediction. CIKM 2021: 3662-3666 - [c169]Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain. CCL 2021: 161-176 - [c168]Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao, Yongbin Zhou:
Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension. CCL 2021: 209-225 - [c167]Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao:
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. EACL 2021: 2042-2048 - [c166]Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi:
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. EMNLP (Demos) 2021: 275-282 - [c165]Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao:
Distantly Supervised Relation Extraction in Federated Settings. EMNLP (Findings) 2021: 569-583 - [c164]Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao:
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. EMNLP (1) 2021: 2301-2311 - [c163]Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao:
Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. EMNLP (1) 2021: 2636-2645 - [c162]Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
Biomedical Concept Normalization by Leveraging Hypernyms. EMNLP (1) 2021: 3512-3517 - [c161]Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao:
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. EMNLP (1) 2021: 3641-3652 - [c160]Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi:
Set Generation Networks for End-to-End Knowledge Base Population. EMNLP (1) 2021: 9650-9660 - [c159]Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao:
Knowledge Guided Metric Learning for Few-Shot Text Classification. NAACL-HLT 2021: 3266-3271 - [c158]Zhen Gan, Zhucong Li, Baoli Zhang, Jing Wan, Yubo Chen, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER. NLPCC (1) 2021: 338-349 - [c157]Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Kun Niu, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi, Weifeng Chong, Shengping Liu:
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks. SMM4H@NAACL-HLT 2021: 77-82 - [i27]Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao:
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. CoRR abs/2103.02141 (2021) - [i26]Yinyu Lan, Shizhu He, Xiangrong Zeng, Shengping Liu, Kang Liu, Jun Zhao:
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. CoRR abs/2105.13074 (2021) - [i25]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. CoRR abs/2106.01649 (2021) - [i24]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. CoRR abs/2106.01654 (2021) - [i23]Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao:
Lifelong Intent Detection via Multi-Strategy Rebalancing. CoRR abs/2108.04445 (2021) - [i22]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
The Logic Traps in Evaluating Post-hoc Interpretations. CoRR abs/2109.05463 (2021) - [i21]Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He, Kang Liu, Jun Zhao:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. CoRR abs/2112.08991 (2021) - 2020
- [j12]Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao:
Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges. AI Open 1: 22-39 (2020) - [c156]Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. AAAI 2020: 9032-9039 - [c155]Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong:
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. ACL (demo) 2020: 294-301 - [c154]Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong:
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. ACL 2020: 3105-3114 - [c153]Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao:
MIE: A Medical Information Extractor towards Medical Dialogues. ACL 2020: 6460-6469 - [c152]Hang Yang, Yubo Chen, Kang Liu, Jun Zhao:
Meta Learning for Event Argument Extraction via Domain-Specific Information Enhanced. CCKS 2020: 160-172 - [c151]Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
Towards Causal Explanation Detection with Pyramid Salient-Aware Network. CNCL 2020: 113-128 - [c150]Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism. CNCL 2020: 144-158 - [c149]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie:
Pre-trained Language Model Based Active Learning for Sentence Matching. COLING 2020: 1495-1504 - [c148]Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision. COLING 2020: 1544-1550 - [c147]Jian Liu, Dianbo Sui, Kang Liu, Jun Zhao:
Graph-Based Knowledge Integration for Question Answering over Dialogue. COLING 2020: 2425-2435 - [c146]Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang:
Incremental Event Detection via Knowledge Consolidation Networks. EMNLP (1) 2020: 707-717 - [c145]Dianbo Sui, Yubo Chen, Jun Zhao, Yantao Jia, Yuantao Xie, Weijian Sun:
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. EMNLP (1) 2020: 2118-2128 - [c144]Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng:
Scene Restoring for Narrative Machine Reading Comprehension. EMNLP (1) 2020: 3063-3073 - [c143]Jian Liu, Yubo Chen, Jun Zhao:
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations. IJCAI 2020: 3608-3614 - [c142]Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao:
Reconstructing Event Regions for Event Extraction via Graph Attention Networks. AACL/IJCNLP 2020: 811-820 - [i20]Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin:
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. CoRR abs/2003.03875 (2020) - [i19]Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao:
Knowledge Guided Metric Learning for Few-Shot Text Classification. CoRR abs/2004.01907 (2020) - [i18]Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao:
Distantly Supervised Relation Extraction in Federated Settings. CoRR abs/2008.05049 (2020) - [i17]Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
Towards Causal Explanation Detection with Pyramid Salient-Aware Network. CoRR abs/2009.10288 (2020) - [i16]Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information. CoRR abs/2009.10290 (2020) - [i15]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie:
Pre-trained Language Model Based Active Learning for Sentence Matching. CoRR abs/2010.05522 (2020) - [i14]Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision. CoRR abs/2010.10833 (2020) - [i13]Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu:
Joint Entity and Relation Extraction with Set Prediction Networks. CoRR abs/2011.01675 (2020)
2010 – 2019
- 2019
- [j11]Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
Event co-reference resolution via a multi-loss neural network without using argument information. Sci. China Inf. Sci. 62(11): 212101:1-212101:9 (2019) - [c141]Cao Liu, Shizhu He, Kang Liu, Jun Zhao:
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation. ACL (1) 2019: 3774-3783 - [c140]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing. ACL (1) 2019: 4265-4270 - [c139]Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao:
Adaptive Multilingual Representations for Cross-Lingual Entity Linking with Attention on Entity Descriptions. CCKS 2019: 1-12 - [c138]Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Xiangwen Liao:
Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension. CCL 2019: 93-104 - [c137]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores. CCL 2019: 258-267 - [c136]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Utterance Alignment in Custom Service by Integer Programming. CCL 2019: 703-714 - [c135]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. CoNLL 2019: 718-727 - [c134]Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao:
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 367-377 - [c133]Jian Liu, Yubo Chen, Kang Liu, Jun Zhao:
Neural Cross-Lingual Event Detection with Minimal Parallel Resources. EMNLP/IJCNLP (1) 2019: 738-748 - [c132]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. EMNLP/IJCNLP (1) 2019: 2431-2441 - [c131]Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu:
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. EMNLP/IJCNLP (1) 2019: 3828-3838 - [c130]Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. EMNLP/IJCNLP (1) 2019: 5895-5900 - [c129]Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu, Zhixing Tian, Jun Zhao:
Unsupervised Story Comprehension with Hierarchical Encoder-Decoder. ICTIR 2019: 93-100 - [c128]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Attention-Based Direct Interaction Model for Knowledge Graph Embedding. JIST (2) 2019: 100-108 - [c127]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Variational Attention for Commonsense Knowledge Aware Conversation Generation. NLPCC (1) 2019: 3-15 - [c126]Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu, Jun Zhao:
Document Gated Reader for Open-Domain Question Answering. SIGIR 2019: 85-94 - [e2]Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li:
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers. Communications in Computer and Information Science 957, Springer 2019, ISBN 978-981-13-3145-9 [contents] - [i12]Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking. CoRR abs/1908.07705 (2019) - [i11]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. CoRR abs/1910.13106 (2019) - [i10]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. CoRR abs/1910.13108 (2019) - 2018
- [c125]Jian Liu, Yubo Chen, Kang Liu, Jun Zhao:
Event Detection via Gated Multilingual Attention Mechanism. AAAI 2018: 4865-4872 - [c124]Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao:
Large Scaled Relation Extraction With Reinforcement Learning. AAAI 2018: 5658-5665 - [c123]Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, Jun Zhao:
DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data. ACL (4) 2018: 50-55 - [c122]Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao:
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. ACL (1) 2018: 506-514 - [c121]Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Adversarial Training for Relation Classification with Attention Based Gate Mechanism. CCKS 2018: 91-102 - [c120]Bingning Wang, Kang Liu, Jun Zhao:
Deep Semantic Hashing with Multi-Adversarial Training. CIKM 2018: 1453-1462 - [c119]Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Learning to Detect Verbose Expressions in Spoken Texts. CCL 2018: 363-375 - [c118]Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao:
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases. COLING 2018: 3272-3282 - [c117]Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu:
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. EMNLP 2018: 182-192 - [c116]Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia:
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms. EMNLP 2018: 1267-1276 - [c115]Cao Liu, Shizhu He, Kang Liu, Jun Zhao:
Curriculum Learning for Natural Answer Generation. IJCAI 2018: 4223-4229 - 2017
- [j10]Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao:
Self-Taught convolutional neural networks for short text clustering. Neural Networks 88: 22-31 (2017) - [c114]Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. AAAI 2017: 3060-3066 - [c113]Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. ACL (1) 2017: 199-208 - [c112]Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao:
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. ACL (1) 2017: 221-231 - [c111]Xuepeng Wang, Kang Liu, Jun Zhao:
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors. ACL (1) 2017: 366-376 - [c110]Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao:
Automatically Labeled Data Generation for Large Scale Event Extraction. ACL (1) 2017: 409-419 - [c109]Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao:
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. ACL (1) 2017: 1789-1798 - [c108]Jian Liu, Yubo Chen, Kang Liu, Jun Zhao:
Attention-Based Event Relevance Model for Stock Price Movement Prediction. CCKS 2017: 37-49 - [c107]Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao, Zhunchen Luo, Wei Luo:
Improving Event Detection via Information Sharing Among Related Event Types. CCL 2017: 122-134 - [c106]Cao Liu, Shizhu He, Hang Yang, Kang Liu, Jun Zhao:
Unsupervised Joint Entity Linking over Question Answering Pair with Global Knowledge. CCL 2017: 273-286 - [c105]Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao:
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL (1) 2017: 111-120 - [c104]Bingning Wang, Kang Liu, Jun Zhao:
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. IJCAI 2017: 4123-4129 - [c103]Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei:
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. IJCNLP (Shared Tasks) 2017: 34-40 - [c102]Xuepeng Wang, Kang Liu, Jun Zhao:
Detecting Deceptive Review Spam via Attention-Based Neural Networks. NLPCC 2017: 866-876 - [i9]Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao:
Self-Taught Convolutional Neural Networks for Short Text Clustering. CoRR abs/1701.00185 (2017) - 2016
- [j9]Jun Zhao, Kang Liu, Liheng Xu:
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Comput. Linguistics 42(3): 595-598 (2016) - [j8]Siwei Lai, Kang Liu, Shizhu He, Jun Zhao:
How to Generate a Good Word Embedding. IEEE Intell. Syst. 31(6): 5-14 (2016) - [j7]Guangyou Zhou, Zhiwen Xie, Tingting He, Jun Zhao, Xiaohua Tony Hu:
Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1305-1314 (2016) - [c101]Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. AAAI 2016: 985-991 - [c100]Shulin Liu, Kang Liu, Shizhu He, Jun Zhao:
A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. AAAI 2016: 2993-2999 - [c99]Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Model for Question Answering over Multiple Knowledge Bases. AAAI 2016: 3094-3100 - [c98]Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao:
Leveraging FrameNet to Improve Automatic Event Detection. ACL (1) 2016 - [c97]Bingning Wang, Kang Liu, Jun Zhao:
Inner Attention based Recurrent Neural Networks for Answer Selection. ACL (1) 2016 - [c96]Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Embedding Method for Entity Alignment of Knowledge Bases. CCKS 2016: 3-14 - [c95]Zhuoyu Wei, Jun Zhao, Kang Liu, Shizhu He:
Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation. CCKS 2016: 133-145 - [c94]Yubo Chen, Shulin Liu, Shizhu He, Kang Liu, Jun Zhao:
Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks. CCL 2016: 190-203 - [c93]Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao:
Learning to Represent Review with Tensor Decomposition for Spam Detection. EMNLP 2016: 866-875 - [c92]Zhuoyu Wei, Jun Zhao, Kang Liu:
Mining Inference Formulas by Goal-Directed Random Walks. EMNLP 2016: 1379-1388 - [c91]Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao:
Employing External Rich Knowledge for Machine Comprehension. IJCAI 2016: 2929-2925 - [i8]Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao:
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information. CoRR abs/1606.00979 (2016) - 2015
- [j6]Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang:
Question Answering over Knowledge Bases. IEEE Intell. Syst. 30(5): 26-35 (2015) - [j5]Kang Liu, Liheng Xu, Jun Zhao:
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model. IEEE Trans. Knowl. Data Eng. 27(3): 636-650 (2015) - [c90]Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao:
Recurrent Convolutional Neural Networks for Text Classification. AAAI 2015: 2267-2273 - [c89]Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao:
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. ACL (1) 2015: 167-176 - [c88]Guangyou Zhou, Tingting He, Jun Zhao, Po Hu:
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering. ACL (1) 2015: 250-259 - [c87]Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao, Gerard de Melo:
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines. ACL (1) 2015: 616-625 - [c86]Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao:
Knowledge Graph Embedding via Dynamic Mapping Matrix. ACL (1) 2015: 687-696 - [c85]Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hongwei Hao:
Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags. CICLing (1) 2015: 444-455 - [c84]Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao:
Learning to Represent Knowledge Graphs with Gaussian Embedding. CIKM 2015: 623-632 - [c83]Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian:
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances. CIKM 2015: 1331-1340 - [c82]Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao:
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks. EMNLP 2015: 1753-1762 - [c81]Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao:
Convolutional Neural Networks for Text Hashing. IJCAI 2015: 1369-1375 - [c80]Guangyou Zhou, Tingting He, Jun Zhao, Wensheng Wu:
A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data. IJCAI 2015: 1426-1433 - [c79]Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao:
Short Text Clustering via Convolutional Neural Networks. VS@HLT-NAACL 2015: 62-69 - [c78]Suncong Zheng, Hongyun Bao, Jun Zhao, Jie Zhang, Zhenyu Qi, Hongwei Hao:
A Novel Hierarchical Convolutional Neural Network for Question Answering over Paragraphs. WI-IAT (1) 2015: 60-66 - [i7]Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hongwei Hao:
Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags. CoRR abs/1503.02801 (2015) - [i6]Siwei Lai, Kang Liu, Liheng Xu, Jun Zhao:
How to Generate a Good Word Embedding? CoRR abs/1507.05523 (2015) - 2014
- [j4]Guangyou Zhou, Jun Zhao, Tingting He, Wensheng Wu:
An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities. Knowl. Based Syst. 66: 136-145 (2014) - [c77]Kang Liu, Liheng Xu, Jun Zhao:
Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking. ACL (1) 2014: 314-324 - [c76]Liheng Xu, Kang Liu, Siwei Lai, Jun Zhao:
Product Feature Mining: Semantic Clues versus Syntactic Constituents. ACL (1) 2014: 336-346 - [c75]Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao:
CASIA@V2: A MLN-based Question Answering System over Linked Data. CLEF (Working Notes) 2014: 1249-1259 - [c74]Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv:
Ontology Matching with Word Embeddings. CCL 2014: 34-45 - [c73]Guoliang Ji, Yinghua Zhang, Hongwei Hao, Jun Zhao:
Reasoning Over Relations Based on Chinese Knowledge Bases. CCL 2014: 141-150 - [c72]Daojian Zeng, Siwei Lai, Xuepeng Wang, Kang Liu, Jun Zhao, Xueqiang Lv:
Distant Supervision for Relation Extraction via Sparse Representation. CCL 2014: 151-162 - [c71]Daojian Zeng, Yubo Chen, Kang Liu, Jun Zhao, Xueqiang Lv:
Learning the Distinctive Pattern Space Features for Relation Extraction. CCL 2014: 163-174 - [c70]Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao:
Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives. COLING 2014: 89-98 - [c69]Liheng Xu, Kang Liu, Jun Zhao:
Joint Opinion Relation Detection Using One-Class Deep Neural Network. COLING 2014: 677-687 - [c68]Guangyou Zhou, Jun Zhao, Daojian Zeng:
Sentiment Classification with Graph Co-Regularization. COLING 2014: 1331-1340 - [c67]Yang Liu, Kang Liu, Liheng Xu, Jun Zhao:
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction. COLING 2014: 2107-2116 - [c66]Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, Jun Zhao:
Relation Classification via Convolutional Deep Neural Network. COLING 2014: 2335-2344 - [c65]Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao:
Question Answering over Linked Data Using First-order Logic. EMNLP 2014: 1092-1103 - [c64]Jiaming Xu, Bo Xu, Jun Zhao, Guanhua Tian, Heng Zhang, Hongwei Hao:
Short Text Hashing Improved by Integrating Topic Features and Tags. ICONIP (2) 2014: 295-302 - [c63]Guangyou Zhou, Tingting He, Jun Zhao:
Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification. NLPCC 2014: 138-149 - [p1]Jun Zhao, Kang Liu, Guangyou Zhou, Zhenyu Qi, Yang Liu, Xianpei Han:
Knowledge Extraction from Wikis/BBS/Blogs/News Web Sites. Mining User Generated Content 2014: 129-166 - [e1]Maosong Sun, Yang Liu, Jun Zhao:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings. Lecture Notes in Computer Science 8801, Springer 2014, ISBN 978-3-319-12276-2 [contents] - 2013
- [c62]Guangyou Zhou, Jun Zhao:
Joint Inference for Heterogeneous Dependency Parsing. ACL (2) 2013: 104-109 - [c61]Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao:
Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. ACL (1) 2013: 852-861 - [c60]Kang Liu, Liheng Xu, Jun Zhao:
Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews. ACL (1) 2013: 1754-1763 - [c59]Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao:
Mining Opinion Words and Opinion Targets in a Two-Stage Framework. ACL (1) 2013: 1764-1773 - [c58]Fang Liu, Yang Liu, Guangyou Zhou, Kang Liu, Jun Zhao:
Determining Relation Semantics by Mapping Relation Phrases to Knowledge Base. ACPR 2013: 420-424 - [c57]Fang Liu, Shizhu He, Shulin Liu, Guangyou Zhou, Kang Liu, Jun Zhao:
Open Relation Mapping Based on Instances and Semantics Expansion. AIRS 2013: 320-331 - [c56]Yang Liu, Shulin Liu, Kang Liu, Guangyou Zhou, Jun Zhao:
Exploring Distinctive Features in Distant Supervision for Relation Extraction. AIRS 2013: 344-355 - [c55]Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao:
Towards faster and better retrieval models for question search. CIKM 2013: 2139-2148 - [c54]Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao:
CASIA@QALD-3: A Question Answering System over Linked Data. CLEF (Working Notes) 2013 - [c53]Kang Liu, Heng Li Xu, Yang Liu, Jun Zhao:
Opinion Target Extraction Using Partially-Supervised Word Alignment Model. IJCAI 2013: 2134-2140 - [c52]Tao Zhang, Kang Liu, Jun Zhao:
Cross Lingual Entity Linking with Bilingual Topic Model. IJCAI 2013: 2218-2224 - [c51]Guangyou Zhou, Yang Liu, Fang Liu, Daojian Zeng, Jun Zhao:
Improving Question Retrieval in Community Question Answering Using World Knowledge. IJCAI 2013: 2239-2245 - [c50]Amparo Elizabeth Cano Basave, Yulan He, Kang Liu, Jun Zhao:
A Weakly Supervised Bayesian Model for Violence Detection in Social Media. IJCNLP 2013: 109-117 - [c49]Yang Liu, Fang Liu, Siwei Lai, Kang Liu, Guangyou Zhou, Jun Zhao:
Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge. IJCNLP 2013: 1097-1101 - [c48]Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv:
IAMA results for OAEI 2013. OM 2013: 123-130 - [c47]Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao:
Walk and learn: a two-stage approach for opinion words and opinion targets co-extraction. WWW (Companion Volume) 2013: 95-96 - [i5]Yubo Chen, Guangyou Zhou, Liheng Xu, Shizhu He, Kang Liu, Jun Zhao:
The CASIA Entity linking System at TAC 2013. TAC 2013 - 2012
- [c46]Zhenyu Qi, Kang Liu, Jun Zhao:
Are Human-Input Seeds Good Enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge. AIRS 2012: 103-113 - [c45]Jianyi Guo, Jun Zhao, Zhengtao Yu, Lei Su, Nianshu Jiang:
Research on Semantic Label Extraction of Domain Entity Relation Based on CRF and Rules. APWeb Workshops 2012: 154-162 - [c44]Guangyou Zhou, Kang Liu, Jun Zhao:
Topical Authority Identification in Community Question Answering. CCPR 2012: 622-629 - [c43]Guangyou Zhou, Kang Liu, Jun Zhao:
Monolingual-Based Translation Model for Question Routing. CCPR 2012: 630-637 - [c42]Zhenyu Qi, Kang Liu, Jun Zhao:
Choosing Better Seeds for Entity Set Expansion by Leveraging Wikipedia Semantic Knowledge. CCPR 2012: 655-662 - [c41]Guangyou Zhou, Kang Liu, Jun Zhao:
Joint relevance and answer quality learning for question routing in community QA. CIKM 2012: 1492-1496 - [c40]Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao:
Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA. CIKM 2012: 1647-1651 - [c39]Guangyou Zhou, Siwei Lai, Kang Liu, Jun Zhao:
Topic-sensitive probabilistic model for expert finding in question answer communities. CIKM 2012: 1662-1666 - [c38]Guangyou Zhou, Kang Liu, Jun Zhao:
Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering. COLING 2012: 3153-3170 - [c37]Kang Liu, Liheng Xu, Jun Zhao:
Opinion Target Extraction Using Word-Based Translation Model. EMNLP-CoNLL 2012: 1346-1356 - [c36]Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang:
Hybrid Recommendation Models for Binary User Preference Prediction Problem. KDD Cup 2012: 137-151 - [i4]Fang Liu, Jun Zhao:
Sweat2012: Pattern based English Slot Filling System for Knowledge Base Population at TAC 2012. TAC 2012 - [i3]Tao Zhang, Kang Liu, Jun Zhao:
The NLPRIR Entity Linking System at TAC 2012. TAC 2012 - 2011
- [c35]Guangyou Zhou, Li Cai, Jun Zhao, Kang Liu:
Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives. ACL 2011: 653-662 - [c34]Guangyou Zhou, Jun Zhao, Kang Liu, Li Cai:
Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing. ACL 2011: 1556-1565 - [c33]Li Cai, Guangyou Zhou, Kang Liu, Jun Zhao:
Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge. CIKM 2011: 1321-1330 - [c32]Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao:
Improving Dependency Parsing with Fined-Grained Features. IJCNLP 2011: 228-236 - [c31]Li Cai, Guangyou Zhou, Kang Liu, Jun Zhao:
Learning the Latent Topics for Question Retrieval in Community QA. IJCNLP 2011: 273-281 - [c30]Xianpei Han, Le Sun, Jun Zhao:
Collective entity linking in web text: a graph-based method. SIGIR 2011: 765-774 - [i2]Tao Zhang, Kang Liu, Jun Zhao:
The NLPR_TAC Entity Linking System at TAC 2011. TAC 2011 - 2010
- [c29]Xianpei Han, Jun Zhao:
Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation. ACL 2010: 50-59 - [c28]Xianpei Han, Jun Zhao:
Topic-driven web search result organization by leveraging wikipedia semantic knowledge. CIKM 2010: 1749-1752
2000 – 2009
- 2009
- [c27]Fan Yang, Jun Zhao, Kang Liu:
A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment. ACL/IJCNLP 2009: 387-395 - [c26]Xianpei Han, Jun Zhao:
Named entity disambiguation by leveraging wikipedia semantic knowledge. CIKM 2009: 215-224 - [c25]Kang Liu, Jun Zhao:
Cross-domain sentiment classification using a two-stage method. CIKM 2009: 1717-1720 - [c24]Xianpei Han, Jun Zhao:
Web personal name disambiguation based on reference entity tables mined from the web. WIDM 2009: 75-82 - [i1]Xianpei Han, Jun Zhao:
NLPR_KBP in TAC 2009 KBP Track: A Two-Stage Method to Entity Linking. TAC 2009 - 2008
- [j3]Jun Zhao, Feifan Liu:
Product named entity recognition in Chinese text. Lang. Resour. Evaluation 42(2): 197-217 (2008) - [c23]Fan Yang, Jun Zhao, Bo Zou, Kang Liu, Feifan Liu:
Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages. ACL 2008: 541-549 - [c22]Jun Zhao, Kang Liu, Gen Wang:
Adding Redundant Features for CRFs-based Sentence Sentiment Classification. EMNLP 2008: 117-126 - [c21]Fan Yang, Jun Zhao, Bo Zou:
CRFs-Based Named Entity Recognition Incorporated with Heuristic Entity List Searching. IJCNLP 2008: 171-174 - [c20]Kang Liu, Jun Zhao:
NLPR at Multilingual Opinion Analysis Task in NTCIR7. NTCIR 2008 - 2007
- [j2]Jun Zhao, Feifan Liu:
Linguistic Theory Based Contextual Evidence Mining for Statistical Chinese Co-Reference Resolution. J. Comput. Sci. Technol. 22(4): 608-617 (2007) - [c19]Xiangyu Duan, Jun Zhao, Bo Xu:
Ungreedy Methods for Chinese Deterministic Dependency Parsing. AAAI 2007: 1850-1851 - [c18]Youzheng Wu, Hideki Kashioka, Jun Zhao:
Using Clustering Approaches to Open-Domain Question Answering. CICLing 2007: 506-517 - [c17]Xiangyu Duan, Jun Zhao, Bo Xu:
Probabilistic Models for Action-Based Chinese Dependency Parsing. ECML 2007: 559-566 - [c16]Xiangyu Duan, Jun Zhao, Bo Xu:
Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing. EMNLP-CoNLL 2007: 940-946 - [c15]Xiangyu Duan, Jun Zhao, Bo Xu:
Word Sense Disambiguation through Sememe Labeling. IJCAI 2007: 1594-1599 - [c14]Kang Liu, Gen Wang, Xianpei Han, Jun Zhao:
NLPR in TREC 2007 Blog Track. TREC 2007 - 2006
- [c13]Youzheng Wu, Jun Zhao, Bo Xu:
Cluster-Based Language Model for Sentence Retrieval in Chinese Question Answering. SIGHAN@COLING/ACL 2006: 56-63 - [c12]Feifan Liu, Jun Zhao:
A Learning Based Model for Chinese Co-reference Resolution by Mining Contextual Evidence. FSKD 2006: 1249-1258 - 2005
- [c11]Feifan Liu, Jun Zhao, Bibo Lv, Bo Xu, Hao Yu:
Product Named Entity Recognition Based on Hierarchical Hidden Markov Model. SIGHAN@IJCNLP 2005 2005 - [c10]Youzheng Wu, Jun Zhao, Bo Xu:
Chinese Question Classification from Approach and Semantic Views. AIRS 2005: 485-490 - [c9]Youzheng Wu, Jun Zhao, Bo Xu, Hao Yu:
Chinese Named Entity Recognition with Multiple Features. HLT/EMNLP 2005: 427-434 - 2004
- [j1]Wei Cheng, Jun Zhao, Feifan Liu, Bo Xu:
A co-chunk based method for spoken-language translation. J. Chin. Lang. Comput. 14(1) (2004) - [c8]Qianli Jin, Jun Zhao, Bo Xu:
Window-Based Method for Information Retrieval. IJCNLP 2004: 120-129 - [c7]Feifan Liu, Qianli Jin, Jun Zhao, Bo Xu:
Bilingual Chunk Alignment Based on Interactional Matching and Probabilistic Latent Semantic Indexing. IJCNLP 2004: 416-425 - [c6]Jin Xu, Jun Zhao, Bo Xu:
NLPR at TREC 2004: Robust Experiments. TREC 2004 - 2003
- [c5]Youzheng Wu, Jun Zhao, Bo Xu:
Chinese Named Entity Recognition Combining Statistical Model wih Human Knowledge. NER@ACL 2003: 65-72 - [c4]Qianli Jin, Jun Zhao, Bo Xu:
NLPR at TREC 2003: Novelty and Robust. TREC 2003: 126-137 - 2000
- [c3]Zhifang Sui, Jun Zhao, Dekai Wu:
An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing. ACL 2000: 472-479
1990 – 1999
- 1999
- [c2]Dekai Wu, Jun Zhao, Zhifang Sui:
An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models. EMNLP 1999 - [c1]Dekai Wu, Zhifang Sui, Jun Zhao:
An information-based method for selecting feature types for word prediction. EUROSPEECH 1999: 2051-2054
Coauthor Index
[j28] [c265] [c264] [c261] [c258] [c257] [c255] [c254] [c250] [c249] [c247] [c246] [c245] [c244] [c238] [c237] [i90] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [i77] [i75] [i74] [i73] [i72] [i70] [i68] [i63] [i62] [i58] [i55] [i54] [i53] [c234] [c223] [c222] [c218] [c216] [c215] [c213] [c212] [i45] [i44] [i43] [i33] [c193] [c191] [c184] [c182] [c180] [c178] [c172] [c164] [c163] [i25] [i24] [c155] [c154] [c150] [c146] [c121] [c117]
[j25] [c265] [c264] [c262] [c261] [c258] [c257] [c255] [c254] [c252] [c250] [c249] [c247] [c246] [c245] [c244] [c238] [c237] [i92] [i90] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [i77] [i75] [i74] [i73] [i72] [i70] [i68] [i67] [i63] [i62] [i58] [i55] [i54] [i53] [j22] [j20] [c234] [c233] [c227] [c223] [c222] [c218] [c216] [c215] [c212] [c208] [c207] [i45] [i44] [i43] [i33] [c206] [c200] [c197] [c196] [c194] [c193] [c191] [c190] [c188] [j17] [c187] [c186] [c185] [c184] [c183] [c182] [c181] [c180] [c178] [c177] [c175] [c174] [c172] [c171] [c170] [c167] [c166] [c165] [c163] [c160] [c159] [c158] [c157] [i27] [i25] [i24] [j12] [c155] [c154] [c152] [c151] [c150] [c148] [c146] [c145] [c143] [c142] [i20] [i19] [i18] [i17] [i16] [i14] [i13] [j11] [c139] [c137] [c133] [c131] [c128] [c125] [c123] [c121] [c117] [c116] [c110] [c109] [c108] [c107] [c98] [c94] [c89] [c82] [c71] [c70] [c59] [c55] [c54] [c47] [i5]
[j26] [c263] [c259] [c253] [c251] [c241] [c240] [c239] [c236] [c235] [i91] [i88] [i80] [i79] [i78] [i76] [i71] [i66] [i65] [i64] [i59] [i57] [i56] [j24] [j23] [j21] [c232] [c231] [c230] [c228] [c225] [c224] [c219] [c214] [c211] [c210] [c209] [i52] [i51] [i49] [i48] [i47] [i46] [i41] [i40] [i37] [i36] [i35] [i34] [j19] [j18] [c205] [c204] [c202] [c199] [c195] [c192] [c189] [i32] [i31] [i30] [i28] [j16] [j15] [j13] [c176] [c173] [c168] [c164] [i26] [i23] [i21] [c149] [i15] [c141] [c140] [c136] [c135] [c134] [c132] [c127] [i12] [i11] [i10] [c124] [c122] [c119] [c118] [c115] [c114] [c113] [c112] [c106] [c105] [c103] [j8] [c101] [c100] [c99] [c98] [c96] [c95] [c94] [c93] [c91] [i8] [j6] [c86] [c84] [c75] [c74] [c65] [c61] [c57] [c54] [c48] [i5]
[j28] [j27] [j26] [j25] [c265] [c264] [c263] [c262] [c261] [c260] [c259] [c258] [c257] [c256] [c255] [c254] [c253] [c252] [c251] [c250] [c249] [c248] [c247] [c246] [c245] [c244] [c243] [c242] [c241] [c240] [c239] [c238] [c237] [c236] [c235] [i92] [i91] [i90] [i89] [i88] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [i80] [i79] [i78] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [j24] [j23] [j22] [j21] [j20] [c234] [c233] [c232] [c231] [c230] [c229] [c228] [c227] [c226] [c225] [c224] [c223] [c222] [c221] [c220] [c219] [c218] [c217] [c216] [c215] [c214] [c213] [c212] [c211] [c210] [c209] [c208] [c207] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [j19] [j18] [c205] [c204] [c203] [c202] [c201] [c200] [c199] [c198] [c197] [c196] [c195] [c194] [c193] [c192] [c191] [c190] [c189] [c188] [i32] [i31] [i30] [i29] [i28] [j17] [j16] [j15] [j14] [j13] [c184] [c183] [c182] [c180] [c179] [c178] [c177] [c176] [c175] [c174] [c173] [c172] [c171] [c170] [c169] [c168] [c167] [c166] [c165] [c164] [c163] [c162] [c161] [c160] [c159] [c158] [c157] [i26] [i25] [i24] [i23] [i22] [i21] [j12] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c144] [c142] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j11] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [i12] [i11] [i10] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [j9] [j8] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [i8] [j6] [j5] [c90] [c89] [c87] [c86] [c84] [c83] [c82] [i6] [c77] [c76] [c75] [c74] [c72] [c71] [c69] [c67] [c66] [c65] [p1] [c60] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [i5] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [i3] [c35] [c34] [c33] [c32] [c31] [i2] [c27] [c25] [c23] [c22] [c20] [c14]
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