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- affiliation: Peking University, Beijing, China
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2020 – today
- 2023
[j5]Xuefeng Su
, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan:
A Span-based Target-aware Relation Model for Frame-semantic Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 1-24 (2023)- [i45]Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui:
A Survey for In-context Learning. CoRR abs/2301.00234 (2023) - [i44]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Pareto Front of Multilingual Neural Machine Translation. CoRR abs/2304.03216 (2023) - [i43]Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang:
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. CoRR abs/2305.04076 (2023) - [i42]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. CoRR abs/2305.10930 (2023) - [i41]Yufeng He, Zefan Cai, Xu Gan, Baobao Chang:
DiffCap: Exploring Continuous Diffusion on Image Captioning. CoRR abs/2305.12144 (2023) - [i40]Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang:
Can We Edit Factual Knowledge by In-Context Learning? CoRR abs/2305.12740 (2023) - 2022
- [c111]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. AAAI 2022: 11547-11555 - [c110]Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) 2022: 333-339 - [c109]Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang:
S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. ACL (2) 2022: 530-537 - [c108]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. ACL (2) 2022: 665-671 - [c107]Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui:
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) 2022: 932-946 - [c106]Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei:
StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) 2022: 7085-7095 - [c105]Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c104]Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei:
Knowledge Neurons in Pretrained Transformers. ACL (1) 2022: 8493-8502 - [c103]Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. COLING 2022: 2313-2318 - [c102]Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang:
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. COLING 2022: 6327-6339 - [c101]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI 2022: 4397-4403 - [c100]Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu:
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) 2022: 212-224 - [c99]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [c98]Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. NAACL-HLT 2022: 4839-4847 - [c97]Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang:
A Double-Graph Based Framework for Frame Semantic Parsing. NAACL-HLT 2022: 4998-5011 - [c96]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT 2022: 5012-5024 - [c95]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [c94]Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang:
Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. NLPCC (2) 2022: 29-41 - [i39]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. CoRR abs/2203.02889 (2022) - [i38]Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang:
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. CoRR abs/2204.04686 (2022) - [i37]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu:
Mixture of Experts for Biomedical Question Answering. CoRR abs/2204.07469 (2022) - [i36]Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei:
StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR abs/2204.08396 (2022) - [i35]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i34]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i33]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR abs/2205.00633 (2022) - [i32]Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang:
A Double-Graph Based Framework for Frame Semantic Parsing. CoRR abs/2206.09158 (2022) - [i31]Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. CoRR abs/2209.01646 (2022) - [i30]Liang Chen, Bofei Gao, Baobao Chang:
A Two-Stage Method for Chinese AMR Parsing. CoRR abs/2209.14512 (2022) - [i29]Ce Zheng, Yiming Wang, Baobao Chang:
Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. CoRR abs/2212.02036 (2022) - 2021
- [c93]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI 2021: 13415-13423 - [c92]Shuang Zeng, Yuting Wu, Baobao Chang:
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. ACL/IJCNLP (Findings) 2021: 524-534 - [c91]Xudong Chen, Ce Zheng, Baobao Chang:
Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing. ACL/IJCNLP (Findings) 2021: 2570-2578 - [c90]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. ACL/IJCNLP (1) 2021: 3533-3546 - [c89]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM 2021: 1969-1978 - [c88]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. EMNLP (1) 2021: 9514-9528 - [c87]Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. ICANN (3) 2021: 66-79 - [c86]Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu:
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT 2021: 5524-5531 - [c85]Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. RepL4NLP@ACL-IJCNLP 2021: 83-89 - [i28]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR abs/2102.08585 (2021) - [i27]Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang:
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. CoRR abs/2103.14443 (2021) - [i26]Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang:
Problems and Countermeasures in Natural Language Processing Evaluation. CoRR abs/2104.09712 (2021) - [i25]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. CoRR abs/2105.14924 (2021) - [i24]Shuang Zeng, Yuting Wu, Baobao Chang:
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. CoRR abs/2106.01709 (2021) - [i23]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i22]Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui:
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR abs/2106.11148 (2021) - [i21]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR abs/2108.12844 (2021) - [i20]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. CoRR abs/2109.05687 (2021) - [i19]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR abs/2109.13023 (2021) - [i18]Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. CoRR abs/2110.07855 (2021) - [i17]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR abs/2112.07198 (2021) - 2020
- [c84]Da Yin, Xiuyu Wu, Baobao Chang:
Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). AAAI 2020: 13977-13978 - [c83]Kexiang Wang, Baobao Chang, Zhifang Sui:
Soap: Soaking Capacity Optimization for Multi-Document Summarization. CIKM 2020: 1525-1534 - [c82]Hongying Zan, Wenxin Li, Kunli Zhang, Yajuan Ye, Baobao Chang, Zhifang Sui:
Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. CLSW 2020: 652-664 - [c81]Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui:
An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING 2020: 5696-5701 - [c80]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL 2020: 596-608 - [c79]Kexiang Wang, Baobao Chang, Zhifang Sui:
A Spectral Method for Unsupervised Multi-Document Summarization. EMNLP (1) 2020: 435-445 - [c78]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. EMNLP (1) 2020: 1630-1640 - [c77]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) 2020: 8189-8202 - [c76]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC 2020: 6852-6860 - [i16]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR abs/2003.02756 (2020) - [i15]Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. CoRR abs/2009.12765 (2020) - [i14]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. CoRR abs/2009.13752 (2020) - [i13]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR abs/2010.03760 (2020) - [i12]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR abs/2010.03777 (2020) - [i11]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR abs/2012.02507 (2020) - [i10]Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. CoRR abs/2012.07379 (2020)
2010 – 2019
- 2019
- [c75]Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui:
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. AAAI 2019: 6786-6793 - [c74]Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun:
Towards Fine-grained Text Sentiment Transfer. ACL (1) 2019: 2013-2022 - [c73]Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui:
Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) 2019: 5985-5996 - [c72]Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun:
Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL (1) 2019: 6020-6026 - [c71]Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. EMNLP/IJCNLP (1) 2019: 3386-3391 - [c70]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI 2019: 5116-5122 - [c69]Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang:
A Soft Label Strategy for Target-Level Sentiment Classification. WASSA@NAACL-HLT 2019: 6-15 - [i9]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR abs/1905.10060 (2019) - [i8]Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. CoRR abs/1910.10950 (2019) - 2018
- [c68]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI 2018: 4881-4888 - [c67]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c66]Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui:
A Multi-View Fusion Neural Network for Answer Selection. AAAI 2018: 5422-5429 - [c65]Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui:
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI 2018: 5916-5923 - [c64]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. ACL (1) 2018: 2473-2482 - [c63]Odmaa Byambasuren, Zhifang Sui, Baobao Chang:
A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. CLSW 2018: 698-704 - [c62]Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP 2018: 1402-1411 - [c61]Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP 2018: 2496-2506 - [c60]Wenhui Wang, Baobao Chang, Mairgup Mansur:
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. EMNLP 2018: 2857-2863 - [c59]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
EventWiki: A Knowledge Base of Major Events. LREC 2018 - [c58]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. NLPCC (2) 2018: 268-277 - [i7]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. CoRR abs/1805.08028 (2018) - 2017
- [c57]Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou:
Gated Self-Matching Networks for Reading Comprehension and Question Answering. ACL (1) 2017: 189-198 - [c56]Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui:
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) 2017: 2069-2077 - [c55]Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [c54]Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Affinity-Preserving Random Walk for Multi-Document Summarization. EMNLP 2017: 210-220 - [c53]Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui:
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. EMNLP 2017: 1790-1795 - [c52]Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui:
Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. NLPCC 2017: 75-87 - [e1]Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 16th China National Conference, CCL 2017, - and - 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings. Lecture Notes in Computer Science 10565, Springer 2017, ISBN 978-3-319-69004-9 [contents] - [i6]Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017) - [i5]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i4]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR abs/1711.09724 (2017) - 2016
- [c51]Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui:
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) 2016 - [c50]Wenhui Wang, Baobao Chang:
Graph-based Dependency Parsing with Bidirectional LSTM. ACL (1) 2016 - [c49]Tianshi Li, Qi Li, Baobao Chang:
Improving Chinese Semantic Role Labeling with English Proposition Bank. CCL 2016: 3-11 - [c48]Wenhui Wang, Baobao Chang:
Improved Graph-Based Dependency Parsing via Hierarchical LSTM Networks. CCL 2016: 25-32 - [c47]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL 2016: 285-298 - [c46]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui:
Towards Time-Aware Knowledge Graph Completion. COLING 2016: 1715-1724 - [c45]Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li:
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING 2016: 2870-2879 - [c44]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Event Detection with Burst Information Networks. COLING 2016: 3276-3286 - [c43]Qi Li, Tianshi Li, Baobao Chang:
Discourse Parsing with Attention-based Hierarchical Neural Networks. EMNLP 2016: 362-371 - [c42]Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui:
News Stream Summarization using Burst Information Networks. EMNLP 2016: 784-794 - [c41]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP 2016: 2011-2016 - [c40]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP 2016: 2350-2354 - [c39]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL 2016: 428-434 - [c38]Qi Li, Tianshi Li, Baobao Chang:
Learning Word Sense Embeddings from Word Sense Definitions. NLPCC/ICCPOL 2016: 224-235 - [c37]Tao Ge, Lei Cui, Heng Ji, Baobao Chang, Zhifang Sui:
Discovering Concept-Level Event Associations from a Text Stream. NLPCC/ICCPOL 2016: 413-424 - [i3]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. CoRR abs/1603.01333 (2016) - [i2]