2023
- Fangyu Lei, Shizhu He, Xiang Li, Yifan Wei, Yiming Huang, Jun Zhao and Kang Liu. S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. In Proceedings of ACL 2023.
- Yao Xu, Shizhu He, Li Cai, Kang Liu and Jun Zhao. Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. In the Findings of ACL 2023.
- Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu and Jun Zhao. Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. In the Findings of ACL 2023.
- Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang and Jiaoyan Chen. Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. In the Findings of ACL 2023.
- Tianyu Wu*, Shizhu He*, Jingping Liu*, Siqi Sun, Kang Liu, Qing-Long Han, Yang Tang. A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE/CAA Journal of Automatica Sinica ( Volume: 10, Issue: 5, May 2023).
- Guirong Bai, Shizhu He, Kang Liu, Jun Zhao. Bidirectional Sentence Ordering with Interactive Decoding. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2023.
2022
- Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Jun Zhao. MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. EMNLP 2022(Demo Paper).
- Ran Song, Shizhu He, Suncong Zheng, Shengxiagn 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.
- Fangyu Lei, Shizhu He, Xiang Li, Kang Liu, Jun Zhao. Answering numerical reasoning questions in table-text hybrid contents with graph-based encoder and tree-based decoder COLING 2022.
- Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu. Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. In Proceedings of ACL 2022, Dublin, Ireland, May 22-27.
- Guirong Bai, Shizhu He, Kang Liu, Jun Zhao. Incremental Intent Detection for Medical Domain with Contrast Replay Networks. In the Findings of ACL 2022, Dublin, Ireland, May 22-27.
- Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, and Jun Zhao. Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision[J]. Journal of Computer Science and Technology, 2022..
- Guirong Bai, Shizhu He, Kang Liu, and Jun Zhao. Example-guided stylized response generation in zero-shot setting. Science China Information Sciences 65 (4), 1-2.
- Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, and Jun Zhao. Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network[J]. Journal of Computer Science and Technology, 2022.
2021
- Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao. A Unified Shared-Private Network with Denoising for Dialogue State Tracking[J]. Journal of Computer Science and Technology, 2021, 36(6): 1407-1419.
- 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).
- 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.
- 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.
- Guirong Bai, Shizhu He, Kang Liu, Jun Zhao. Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching[J]. Transactions on Asian and Low-Resource Language Information Processing, 2021, 21(2): 1-19.
- Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao. Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. China Conference on Knowledge Graph and Semantic Computing(CCKS 2021).
- 徐遥, 何世柱, 刘康, 张弛, 焦飞, 赵军. 基于Beta分布和半监督学习的非确定性知识图谱嵌入模型. China Conference on Knowledge Graph and Semantic Computing(CCKS 2021).
2020
- Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie. Zaiqing Nie and Jun Zhao. Pre-trained Language Model Based Active Learning for Sentence Matching, To appear in Proceedings of COLING 2020.
- 郭展成, 宋挺, 何世柱, 刘康, 赵军, 刘升平. 基于动态知识选择的预训练模型, China Conference on Knowledge Graph and Semantic Computing(CCKS 2020). (获最佳论文提名奖)
- 宋挺, 郭展成, 何世柱, 刘康, 赵军, 刘升平. 基于动态词遮掩的句子匹配预训练模型, China Conference on Knowledge Graph and Semantic Computing(CCKS 2020).
2019
- Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao, Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots, To appear in Proceedings of CoNLL 2019.
- Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao, Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss, To appear in Proceedings of EMNLP 2019.
- Xiangrong Zeng,Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu and Jun Zhao, Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning, To appear in Proceedings of EMNLP 2019.
- Cao Liu, Shizhu He, Kang Liu and Jun Zhao, Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation, To appear in Proceedings of ACL 2019.
- Xiang Zhang,Shizhu He, Kang Liu and Jun Zhao, AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing, To appear in Proceedings of ACL 2019.
- Shizhu He, Kang Liu and Weiting An, Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks, To appear in Proceedings of AAAI 2019.
2018
- Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu and Jun Zhao, Extracting Relational Facts by End-to-End Neural Model with Copy Mechanism, To appear in Proceedings of ACL 2018.
- Shizhu He*, Cao Liu*, Kang Liu and Jun Zhao, Curriculum Learning for Natural Answer Generation, To appear in Proceedings of IJCAI 2018.
- Xiangrong Zeng, Shizhu He, Kang Liu and Jun Zhao, Large Scaled Relation Extraction with Reinforcement Learning, To appear in Proceedings of AAAI 2018.
2017
- Cao Liu, Shizhu He, Kang Liu and Jun Zhao, Unsupervised Joint Entity Linking over Question Answering Pair with Global Knowledge, To appear in Proceedings of CCL 2017: 273-286.
- Shizhu He, Cao Liu, Kang Liu and Jun Zhao, Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning, To appear in Proceedings of ACL 2017, Vancouver, Canada, July 30-August 4. PDF Data
- Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu and Jun Zhao, An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge, To appear in Proceedings of ACL 2017, Vancouver, Canada, July 30-August 4. PDF
- Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu and Jun Zhao, Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?, in Proceedings of EACL 2017, Valencia, Spain, April, 3-7.PDF
2016
- Yuanzhe Zhang, Shizhu He, Kang Liu and Jun Zhao, A Joint Model for Question Answering over Multiple Knowledge Bases, in Proceedings of AAAI 2016, Phoenix, USA, February, 12-17.
- Siwei Lai, Kang Liu, Shizhu He, Jun Zhao, How to Generate a Good Word Embedding? IEEE Intelligent Systems. vol. 31, no. , pp. 5-14, Nov.-Dec. 2016
2015
- Kang Liu, Jun Zhao, Shizhu He and Yuanzhe Zhang, Questiong Answering over Knoweldge Base, a Nature Language Processing Special Issue in IEEE Transaction on Intelligent Systems, pp. 1541-1672.
- Shizhu He, Kang Liu and Jun Zhao, Learning to Represent Knowledge Graphs with Gaussian Embedding, in Proceedings of CIKM 2015, Melbourne, Astralia, October, 19-23.
- Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu and Jun Zhao, Knowledge Graph Embedding via Dynamic Mapping Matrix, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29.
2014
- Shizhu He, Kang Liu, Yuanzhe Zhang and Jun Zhao, Questioning Answering over Linked Data Using Markov First-order Logic, in Proceedings of EMNLP 2014, Doha, Qatar, October, 25-29. PDF
- Shizhu He, Yuanzhe Zhang, Kang Liu and Jun Zhao, CASIA@V2: A MLN-based Question Answering System over Linked Data, in Proceedings of the fourth workshop on question answering over linked data (QALD-4) in CLEF 2014, Sheffield, UK, September, 15-18. PDF
2013
- Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu and Jun Zhao, CASIA@QALD-3: A Question Answering System over Linked Data, in Proceedings of the third workshop on question answering over linked data (QALD-3), co-locaed with CLEF 2013, Valencia, Spain, September, 23-26. PDF