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ORCIDTing Liu 0001
Person information
- affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- affiliation (PhD 1998): Harbin Institute of Technology, Department of Computer Science, China
Other persons with the same name
- Ting Liu — disambiguation page
- Ting Liu 0002
![[0000-0002-7600-0934]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7600-0934")
— Xi'an Jiaotong University, School of Electronic and Information Engineering, MOEKLINNS, China - Ting Liu 0003 — State University of New York at Albany, NY, USA
- Ting Liu 0004 — AUG Signals Ltd., Toronto, ON, Canada
- Ting Liu 0005 — Google, Inc. (and 1 more)
- Ting Liu 0006 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Ting Liu 0007 — Henri Poincaré University, Nancy, France
- Ting Liu 0008 — Harbin Institute of Technology, Department of Control Science and Engineering, China
- Ting Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Ting Liu 0010 — Chinese Academy of Sciences, Academy of Mathematics and Systems Sciences, Key Laboratory of Systems and Control, Beijing, China
- Ting Liu 0011 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Ting Liu 0012 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Ting Liu 0013 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Ting Liu 0014 — Guangdong University of Technology, Department of Communication Engineering, Guangzhou, China
- Ting Liu 0015 — Tianjin University, Department of Management and Economics, China
- Ting Liu 0016 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Microelectronics, China
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2020 – today
- 2023
[j95]Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong:
Graph-Grounded Goal Planning for Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4923-4939 (2023)- [j94]Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. ACM Trans. Inf. Syst. 41(1): 15:1-15:30 (2023) - [j93]Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu:
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. ACM Trans. Inf. Syst. 41(3): 68:1-68:36 (2023) - [c291]Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588 - [c290]Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882 - [c289]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) 2023: 4856-4873 - [c288]Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu:
I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets. ACL (Findings) 2023: 7223-7237 - [c287]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291 - [i133]Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu:
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR abs/2304.06975 (2023) - [i132]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR abs/2305.07375 (2023) - [i131]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. CoRR abs/2305.10709 (2023) - [i130]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023) - [i129]Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu:
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset. CoRR abs/2306.05672 (2023) - [i128]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR abs/2307.05355 (2023) - [i127]Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu:
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models. CoRR abs/2308.07902 (2023) - [i126]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR abs/2309.04174 (2023) - [i125]Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR abs/2309.04175 (2023) - 2022
- [j92]Le Qi, Yu Zhang, Qingyu Yin, Ting Liu:
MS-Transformer: Introduce multiple structural priors into a unified transformer for encoding sentences. Comput. Speech Lang. 72: 101304 (2022) - [j91]Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022) - [j90]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022) - [j89]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu:
Combining Self-supervised Learning and Active Learning for Disfluency Detection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 62:1-62:25 (2022) - [j88]Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 72:1-72:19 (2022) - [j87]Libo Qin, Fuxuan Wei, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 77:1-77:17 (2022) - [j86]Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang:
Teaching Machines to Read, Answer and Explain. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1483-1492 (2022) - [j85]Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2357-2367 (2022) - [j84]Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [j83]Longxuan Ma, Mingda Li, Wei-Nan Zhang, Jiapeng Li, Ting Liu:
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey. ACM Trans. Inf. Syst. 40(1): 9:1-9:44 (2022) - [c286]Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu:
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. AAAI 2022: 10454-10462 - [c285]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446 - [c284]Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu:
DuReadervis: A Chinese Dataset for Open-domain Document Visual Question Answering. ACL (Findings) 2022: 1338-1351 - [c283]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c282]Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei:
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. ACL (1) 2022: 6088-6100 - [c281]Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin:
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS 2022: 111-122 - [c280]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. COLING 2022: 485-495 - [c279]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431 - [c278]Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225 - [c277]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438 - [c276]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. EMNLP 2022: 7587-7598 - [c275]Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu:
All Information is Valuable: Question Matching over Full Information Transmission Network. NAACL-HLT (Findings) 2022: 1431-1440 - [i124]Yiming Cui, Ziqing Yang, Ting Liu:
PERT: Pre-training BERT with Permuted Language Model. CoRR abs/2203.06906 (2022) - [i123]Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, Furu Wei:
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment. CoRR abs/2203.07190 (2022) - [i122]Bo Sun, Baoxin Wang, Wanxiang Che, Dayong Wu, Zhigang Chen, Ting Liu:
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition. CoRR abs/2204.07464 (2022) - [i121]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022) - [i120]Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i119]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. CoRR abs/2208.08094 (2022) - [i118]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR abs/2208.09884 (2022) - [i117]Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR abs/2208.14509 (2022) - [i116]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022) - [i115]Yiming Cui, Wanxiang Che, Shijin Wang, Ting Liu:
LERT: A Linguistically-motivated Pre-trained Language Model. CoRR abs/2211.05344 (2022) - 2021
- [j82]Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [j81]Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu:
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. Sci. China Inf. Sci. 64(9) (2021) - [j80]Xiaocheng Feng, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning number reasoning for numerical table-to-text generation. Int. J. Mach. Learn. Cybern. 12(8): 2269-2280 (2021) - [j79]Yaqin Geng, Ting Liu, Yu Ding, Wei Liu, Jiayi Ye, Linlin Hu, Li Ruan:
Deep Learning-Based Self-Efficacy X-Ray Images in the Evaluation of Rheumatoid Arthritis Combined with Osteoporosis Nursing. Sci. Program. 2021: 9959617:1-9959617:8 (2021) - [j78]Zhongyang Li, Xiao Ding, Ting Liu:
TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 16:1-16:20 (2021) - [j77]Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Jizhou Huang, Ting Liu:
Coherent Dialog Generation with Query Graph. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 101:1-101:23 (2021) - [j76]Wei Song, Jingjin Guo, Ruiji Fu, Ting Liu, Lizhen Liu:
A Knowledge Graph Embedding Approach for Metaphor Processing. IEEE ACM Trans. Audio Speech Lang. Process. 29: 406-420 (2021) - [j75]Libo Qin, Wanxiang Che, Minheng Ni, Yangming Li, Ting Liu:
Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1280-1289 (2021) - [j74]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang:
Pre-Training With Whole Word Masking for Chinese BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3504-3514 (2021) - [j73]Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021) - [c274]Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu:
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. AAAI 2021: 13027-13035 - [c273]Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu:
Few-shot Learning for Multi-label Intent Detection. AAAI 2021: 13036-13044 - [c272]Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu:
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. AAAI 2021: 13709-13717 - [c271]Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. ACL/IJCNLP (1) 2021: 167-177 - [c270]Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu:
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. ACL/IJCNLP (1) 2021: 178-188 - [c269]Jiefu Gong, Xiao Hu, Wei Song, Ruiji Fu, Zhichao Sheng, Bo Zhu, Shijin Wang, Ting Liu:
IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation. ACL (demo) 2021: 240-248 - [c268]Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang:
Benchmarking Robustness of Machine Reading Comprehension Models. ACL/IJCNLP (Findings) 2021: 634-644 - [c267]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL/IJCNLP (1) 2021: 1479-1491 - [c266]Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu:
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. ACL/IJCNLP (Findings) 2021: 2344-2354 - [c265]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363 - [c264]Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu:
Dynamic Connected Networks for Chinese Spelling Check. ACL/IJCNLP (Findings) 2021: 2437-2446 - [c263]Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu:
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. ACL/IJCNLP (Findings) 2021: 3190-3200 - [c262]Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Consistency Regularization for Cross-Lingual Fine-Tuning. ACL/IJCNLP (1) 2021: 3403-3417 - [c261]Wei Song, Shuhui Zhou, Ruiji Fu, Ting Liu, Lizhen Liu:
Verb Metaphor Detection via Contextual Relation Learning. ACL/IJCNLP (1) 2021: 4240-4251 - [c260]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) 2021: 4391-4401 - [c259]Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu:
What Did You Refer to? Evaluating Co-References in Dialogue. ACL/IJCNLP (Findings) 2021: 5075-5084 - [c258]Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190 - [c257]Jiapeng Li, Mingda Li, Longxuan Ma, Weinan Zhang, Ting Liu:
Technical Report on Shared Task in DialDoc21. DialDoc@ACL-IJCNLP 2021: 52-56 - [c256]Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: An Open-source Neural Language Technology Platform for Chinese. EMNLP (Demos) 2021: 42-49 - [c255]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. EMNLP (1) 2021: 175-184 - [c254]Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training. EMNLP (1) 2021: 3203-3215 - [c253]Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684 - [c252]Dechuan Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu:
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding. ICASSP 2021: 8188-8192 - [c251]Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu:
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. ICASSP 2021: 8193-8197 - [c250]Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. IJCAI 2021: 4577-4584 - [c249]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8 - [c248]Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. *SEM 2021: 308-313 - [i114]Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering. CoRR abs/2102.03741 (2021) - [i113]Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. CoRR abs/2103.03095 (2021) - [i112]Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. CoRR abs/2104.08480 (2021) - [i111]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021) - [i110]Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang:
ExpMRC: Explainability Evaluation for Machine Reading Comprehension. CoRR abs/2105.04126 (2021) - [i109]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR abs/2105.12544 (2021) - [i108]Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu:
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. CoRR abs/2106.01925 (2021) - [i107]Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR abs/2106.04437 (2021) - [i106]Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. CoRR abs/2106.06169 (2021) - [i105]Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu:
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. CoRR abs/2106.07343 (2021) - [i104]Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Consistency Regularization for Cross-Lingual Fine-Tuning. CoRR abs/2106.08226 (2021) - [i103]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. CoRR abs/2107.09846 (2021) - [i102]Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin:
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. CoRR abs/2107.09852 (2021) - [i101]Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen:
Understanding Attention in Machine Reading Comprehension. CoRR abs/2108.11574 (2021) - [i100]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. CoRR abs/2109.06480 (2021) - [i99]Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training. CoRR abs/2109.07306 (2021) - 2020
- [j72]Lydia Lazib, Bing Qin, Yanyan Zhao, Weinan Zhang, Ting Liu:
A syntactic path-based hybrid neural network for negation scope detection. Frontiers Comput. Sci. 14(1): 84-94 (2020) - [j71]Yu Zhang, Mingxiang Tuo, Qingyu Yin, Le Qi, Xuxiang Wang, Ting Liu:
Keywords extraction with deep neural network model. Neurocomputing 383: 113-121 (2020) - [j70]Yuxuan Wang, Yutai Hou, Wanxiang Che, Ting Liu:
From static to dynamic word representations: a survey. Int. J. Mach. Learn. Cybern. 11(7): 1611-1630 (2020) - [j69]Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao, Bing Qin, Ting Liu:
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. Mob. Networks Appl. 25(5): 1722-1728 (2020) - [j68]Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu:
Chinese Zero Pronoun Resolution: A Collaborative Filtering-based Approach. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 3:1-3:20 (2020) - [j67]Yijia Liu, Wanxiang Che, Yuxuan Wang, Bo Zheng, Bing Qin, Ting Liu:
Deep Contextualized Word Embeddings for Universal Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 9:1-9:17 (2020) - [j66]Qingfu Zhu, Weinan Zhang, Lei Cui, Ting Liu:
Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 18:1-18:18 (2020) - [j65]Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 28: 813-824 (2020) - [j64]Jizhou Huang, Haifeng Wang, Wei Zhang, Ting Liu:
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search. ACM Trans. Intell. Syst. Technol. 11(5): 54:1-54:24 (2020) - [j63]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [c247]Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
Discriminative Sentence Modeling for Story Ending Prediction. AAAI 2020: 7602-7609 - [c246]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI 2020: 7716-7723 - [c245]Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu:
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. AAAI 2020: 8665-8672 - [c244]