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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
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2020 – today
- 2022
[j87]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)- [j86]Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [c273]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 - [c272]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 - [i117]Yiming Cui, Ziqing Yang, Ting Liu:
PERT: Pre-training BERT with Permuted Language Model. CoRR abs/2203.06906 (2022) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - 2021
- [j81]Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [c271]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 - [c270]Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu:
Few-shot Learning for Multi-label Intent Detection. AAAI 2021: 13036-13044 - [c269]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 - [c268]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 - [c267]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 - [c266]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 - [c265]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 - [c264]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 - [c263]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 - [c262]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363 - [c261]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 - [c260]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 - [c259]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 - [c258]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) 2021: 4391-4401 - [c257]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 - [c256]Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190 - [c255]Jiapeng Li, Mingda Li, Longxuan Ma, Weinan Zhang, Ting Liu:
Technical Report on Shared Task in DialDoc21. DialDoc@ACL-IJCNLP 2021: 52-56 - [c254]Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: An Open-source Neural Language Technology Platform for Chinese. EMNLP (Demos) 2021: 42-49 - [c253]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 - [c252]Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684 - [c251]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 - [c250]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 - [c249]Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. IJCAI 2021: 4577-4584 - [c248]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 - [c247]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 - [i112]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) - [i111]Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. CoRR abs/2103.03095 (2021) - [i110]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) - [i109]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) - [i108]Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang:
ExpMRC: Explainability Evaluation for Machine Reading Comprehension. CoRR abs/2105.04126 (2021) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. CoRR abs/2107.09846 (2021) - [i100]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) - [i99]Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen:
Understanding Attention in Machine Reading Comprehension. CoRR abs/2108.11574 (2021) - [i98]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
- [j71]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) - [j70]Yu Zhang, Mingxiang Tuo, Qingyu Yin, Le Qi, Xuxiang Wang, Ting Liu:
Keywords extraction with deep neural network model. Neurocomputing 383: 113-121 (2020) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c246]Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
Discriminative Sentence Modeling for Story Ending Prediction. AAAI 2020: 7602-7609 - [c245]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 - [c244]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 - [c243]Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang:
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. AAAI 2020: 8838-8845 - [c242]Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu:
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. AAAI 2020: 8878-8885 - [c241]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. AAAI 2020: 9193-9200 - [c240]Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. ACL (demo) 2020: 9-16 - [c239]Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li, Ting Liu:
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. ACL 2020: 97-106 - [c238]Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Towards Conversational Recommendation over Multi-Type Dialogs. ACL 2020: 1036-1049 - [c237]Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu:
Conversational Word Embedding for Retrieval-Based Dialog System. ACL 2020: 1375-1380 - [c236]Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu:
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. ACL 2020: 1381-1393 - [c235]Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. ACL 2020: 1835-1845 - [c234]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c233]Haoyu Song, Yan Wang, Weinan Zhang, Xiaojiang Liu, Ting Liu:
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. ACL 2020: 5821-5831 - [c232]Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu:
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. ACL 2020: 6344-6354 - [c231]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c230]Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280 - [c229]Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. COLING 2020: 39-50 - [c228]Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING 2020: 1978-1988 - [c227]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652 - [c226]Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. COLING 2020: 6717-6723 - [c225]Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu:
HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser. CoNLL Shared Task 2020: 65-72 - [c224]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. EMNLP (Findings) 2020: 657-668 - [c223]Longxuan Ma, Wei-Nan Zhang, Runxin Sun, Ting Liu:
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. EMNLP (Findings) 2020: 1358-1367 - [c222]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c221]Libo Qin, Xiao Xu, Wanxiang Che, Ting Liu:
Towards Fine-Grained Transfer: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling. EMNLP (Findings) 2020: 1807-1816 - [c220]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Ting Liu:
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection. EMNLP (1) 2020: 1813-1822 - [c219]Wei Song, Ziyao Song, Ruiji Fu, Lizhen Liu, Miaomiao Cheng, Ting Liu:
Discourse Self-Attention for Discourse Element Identification in Argumentative Student Essays. EMNLP (1) 2020: 2820-2830 - [c218]Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu:
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. EMNLP (Findings) 2020: 2905-2914 - [c217]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Dialogue Generation. EMNLP (1) 2020: 3438-3448 - [c216]Haoyu Song, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu:
Profile Consistency Identification for Open-domain Dialogue Agents. EMNLP (1) 2020: 6651-6662 - [c215]Wei Song, Kai Zhang, Ruiji Fu, Lizhen Liu, Ting Liu, Miaomiao Cheng:
Multi-Stage Pre-training for Automated Chinese Essay Scoring. EMNLP (1) 2020: 6723-6733 - [c214]Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Is Graph Structure Necessary for Multi-hop Question Answering? EMNLP (1) 2020: 7187-7192 - [c213]Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu:
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. EMNLP (1) 2020: 7870-7881 - [c212]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. IJCAI 2020: 3629-3636 - [c211]Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu:
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. SemEval@COLING 2020: 354-360 - [c210]Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin:
Keywords Generation Improves E-Commerce Session-based Recommendation. WWW 2020: 1604-1614 - [i97]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i96]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. CoRR abs/2002.10210 (2020) - [i95]Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. CoRR abs/2002.12620 (2020) - [i94]Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Is Graph Structure Necessary for Multi-hop Reasoning? CoRR abs/2004.03096 (2020) - [i93]Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. CoRR abs/2004.03116 (2020) - [i92]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020) - [i91]Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, Ting Liu:
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