专著/教材
2022
1. 赵军，刘康，何世柱，陈玉博，张元哲 《知识图谱：算法与实践》，高等教育出版社，30万字，2022年。（入选“十三五”国家重点图书出版规划）
2018
1. 赵军，刘康，何世柱，陈玉博，《知识图谱》，高等教育出版社，35万字，2018年。（入选“十三五”国家重点图书出版规划）
期刊和会议论文
2025
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. In Proceedings of AAAI 2025, USA, 2025.
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. In Proceedings of AAAI 2025, USA, 2025.
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. In Proceedings of AAAI 2025, USA, 2025.
2024
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. In Proceedings of the Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NIPS 2024), 2024.
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. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), USA, 2024.
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. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), USA, 2024.
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. The Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), USA, 2024.
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. The Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), USA, 2024.
Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang. AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.The Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), USA, 2024.
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. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Thailand, 2024.
Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao. MULFE: A Multi-Level Benchmark for Free Text Model Editing. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Thailand, 2024.
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. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Thailand, 2024.
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. The Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Thailand, 2024.
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. The Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Thailand, 2024.
Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024): system demonstrations, Thailand, 2024.
Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Jun Zhao, Shengping Liu. Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024): system demonstrations, Jeju, 2024.
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. The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024): system demonstrations, USA, 2024.
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu,Zhiqiang Zhang, Mengshu Sun and Jun Zhao. Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. In Proceedings of COLING 2024(Long Paper), Italy, 2024.
Chenlong Zhang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu,Zhiqiang Zhang, Mengshu Sun and Jun Zhao. Continual Few-shot Event Detection via Hierarchical Augmentation Networks. In Proceedings of COLING 2024(Long Paper), Italy, 2024.
Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li and Jun Zhao. Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. In Proceedings of COLING 2024(Long Paper), Italy, 2024.
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu,Xiaojian Jiang, Jiexin Xu, Qiuxia Li and Jun Zhao. Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. In Proceedings of COLING 2024(Long Paper), Italy, 2024.
Shaoru Guo Yubo Chen, Kang Liu and Jun Zhao. NutFrame: Frame-based Conceptual Structure Induction with LLMs. In Proceedings of COLING 2024(Short Paper), Italy, 2024.
Kun Luo, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu. Open Event Causality Extraction by the Assistance of LLM in Task Annotation, Dataset, and Method. In the Proceedings of the Workshop: Bridging Neurons and Symbols for Natural Language (COLING 2024), Italy, 2024.
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao. Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons . In Proceedings of AAAI 2024(Long Paper), USA, 2024.
2023
Chenhao Wang, Shaoru Guo, Zhitao He, Zhipeng Xue, Yubo Chen, Kang Liu, and Jun Zhao. CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge, In Proceedings of ISWC 2023 (Long Paper), Greece, November 5–11, 2023.Best Demo Paper Award
Dianbo Sui, Xiangrong Zeng, Yubo Chen, Kang Liu and Jun Zhao. Joint Entity and Relation Extraction With Set Prediction Networks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.ESI Highly Cited Paper
Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao. Event Ontology Completion with Hierarchical Structure Evolution Networks, In Proceedings of EMNLP 2023 (Long Paper), Singapore, December 5–11, 2023.
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, In Proceedings of EMNLP 2023 (Long Paper), Singapore, December 5–11, 2023.
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, In Proceedings of EMNLP 2023 (Long Paper), Singapore, December 5–11, 2023.
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models, In Proceedings of EMNLP 2023 (Long Paper), Singapore, December 5–11, 2023.
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, In Proceedings of EMNLP 2023 (Long Paper), Singapore, December 5–11, 2023.
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 In Proceedings of EMNLP 2023 (Long Paper), Singapore, December 5–11, 2023.
Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, and Jun Zhao. Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. In Proceedings of AAAI 2023 (Long Paper), Washington, DC, USA, February 7–14, 2023.
Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Event Process Typing via Hierarchical Optimal Transport. In Proceedings of AAAI 2023 (Long Paper), Washington, DC, USA, February 7–14, 2023.
2022
Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, and Jun Zhao. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. In Proceedings of EMNLP 2022 (Long Paper), Abu Dhabi, December 7–11, 2022.
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu and Jun Zhao. A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. In Proceedings of EMNLP 2022 (Long Paper), Abu Dhabi, December 7–11, 2022.
Zhuoran Jin, Tianyi Men，Hongbang Yuan，Yuyang Zhou，Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu and Jun Zhao. CogKTR:A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. In Proceedings of EMNLP 2022 (Demo Paper), Abu Dhabi, December 7–11, 2022.
Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. In Proceedings of COLING 2022 (Long Paper), Republic of Korea, October 12-17.
Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Generating Temporally-ordered Event Sequences via Event Optimal Transport. In Proceedings of COLING 2022 (Long Paper), Republic of Korea, October 12-17.
Xiusheng Huang, Yubo Chen, Kang Liu and Jun Zhao, Zuyu Zhao, Weijian Sun. Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. In Proceedings of COLING 2022 (Long Paper), Republic of Korea, October 12-17.
Hang Yang, Yubo Chen, Kang Liu and Jun Zhao, Zuyu Zhao, Weijian Sun. Multi-turn and Multi-Granularity Reader for Document-level Event Extraction. Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Script Event Prediction via Multilingual Event Graph Networks. Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen and Jun Zhao. CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. in Proceedings of ACL 2022 Demo, Dublin, Ireland, May 22-27Hot!.
2021
Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu and Jun Zhao. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Dianbo Sui, Yubo Chen, Kang Liu and Jun Zhao. Distantly Supervised Relation Extraction in Federated Settings. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao and Wei Bi. Set Generation Networks for End-to-End Knowledge Base Population. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Baoli Zhang, zhucong li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu and Yafei Shi. CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao and Wei Bi. Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. in Proceedings of CIKM 2021, Queensland, Australia, November 1-5.
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao and Taifeng Wang. Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. in Proceedings of CIKM 2021, Queensland, Australia, November 1-5.
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang and Jinlong Li. Multi-Task Self-Supervised Learning for Script Event Prediction. in Proceedings of CIKM 2021, Queensland, Australia, November 1-5.
Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue and Jun Zhao. CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. in Proceedings of ACL 2021 Demo, Bangkok, Thailand, August 1-6. Hot!.
Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie and Weijian Sun. Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. in Proceedings of ACL 2021 Findings, Bangkok, Thailand, August 1-6.
Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen and Weihua Peng. Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu and Jun Zhao. A Large-Scale Chinese NER Dataset with Speech Clues. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen. LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen. Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. in Proceedings of ACL 2021 Findings, Bangkok, Thailand, August 1-6.
Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong and Shengping Liu. Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao and Taifeng Wang. Document-level Event Extraction via Parallel Prediction Networks. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu and Jun Zhao. Knowledge Guided Metric Learning for Few-Shot Text Classification. in Proceedings of NAACL 2021, Online, June 6-11.
Yang Zhou, Yubo Chen , Jun Zhao, Yin Wu, Jiexin Xu and Jinlong Li. What the role is vs. What plays the role:Semi-supervised Event Argument Extraction via Dual Question Answering, in Proceedings of AAAI 2021,
Online, February 2-9.
Chenhao Wang, Yubo Chen, Zhipeng Xu, Yang Zhou and Jun Zhao. CogNet: Bridging Linguistic Knowledge,World Knowledge and Commonsense Knowledge, in Proceedings of AAAI 2021 Demo,
Online, February 2-9. Hot!.
2020
Xinyu Zuo, Yubo Chen, Kang Liu and Jun Zhao. Towards Causal Explanation Detection with Pyramid Salient-Aware Network, in Proceedings of COLING 2020,
Online, october 30- Novermber 1.
Pengfei Cao, Yubo Chen , Jun Zhao and Taifeng Wang. Incremental Event Detection via Knowledge Consolidation Networks, in Proceedings of EMNLP 2020,
Online, Novermber 16-20.
Jian Liu, Yubo Chen , Kang Liu, Wei Bi and Xiaojiang Liu. Event Extraction as Machine Reading Comprehension, in Proceedings of EMNLP 2020,
Online, Novermber 16-20.
Jian Liu, Yubo Chen , Kang Liu, Yantao Jia and Zhicheng Sheng. How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization, in Proceedings of EMNLP 2020 Findings,
Online, Novermber 16-20.
Dianbo Sui, Yubo Chen , Jun Zhao,Yantao Jia, Yuantao Xie and Weijian Sun. FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction, in Proceedings of EMNLP 2020,
Online, Novermber 16-20.
Jian Liu, Yubo Chen and Jun Zhao. Knowledge Enhanced
Event Causality Identification with Mention Masking Generalizations, in Proceedings of IJCAI 2020,
Yokohama, Japan, July 11-17.
Caopengfei, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
and Weifeng Chong. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding, in
Proceedings of ACL 2020, Seattle, USA, July 5-10.
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao. Towards Causal Explanation Detection with Pyramid Salient-Aware Network, in
Proceedings of CCL 2020, Best Paper Award.
Zhucong Li, Baoli Zhang, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu. Multi-Specialty Domain Adaptation for Chinese Medical Named Entity Recognition, in
Proceedings of CCKS 2020,Best Paper Award.
Caopengfei, Chenwei Yan, Xiangyu Fu, Yubo Chen, Kang
Liu, Jun Zhao, Shengping Liu and Weifeng Chong. Clinical-Coder: Assigning Interpretable ICD-10
Codes to Chinese Clinical Notes, in Proceedings of ACL 2020, Seattle, USA, July 5-10.
2019
Dianbo Sui, Yubo Chen, Kang Liu and Jun Zhao. Leverage
Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network, in
Proceedings of EMNLP 2019, Hong Kong, China, November 3-7.
Jian Liu, Yubo Chen, Kang Liu and Jun Zhao Neural
Cross-Lingual Event Detection with Minimal Parallel Resources, in Proceedings of EMNLP 2019, Hong
Kong, China, November 3-7.
Jian Liu, Yubo Chen and Kang Liu. Exploiting the
Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection,
in Proceedings of AAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1.
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Event
Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information,
SCIENCE CHINA Information Sciences,2019.
2018
Yubo Chen, Hang Yang, Kang Liu and Jun Zhao, Collective
Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention
Mechanisms, In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language
Processing (EMNLP 2018), Brussels, Belgium.(Regular Long Paper).
Pengfei Cao, Yubo Chen, Kang Liu and Jun Zhao,
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism,
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP
2018), Brussels, Belgium.(Regular Long Paper).
Hang Yang, Yubo Chen, Kang Liu and Jun Zhao, DCFEE: A
Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training
Data, In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics
(ACL 2018), Melbourne, Australia.(Regular Long Paper).
Jian Liu, Yubo Chen, Kang Liu and Jun Zhao, Event
Detection via Gated Multilingual Attention Mechanism, In: Proceedings of the Thirty-Second AAAI
conference on Artificial Intelligence (AAAI2018) , New Orleans, USA. (Regular Long Paper).
Xinyu Zuo, Yubo Chen, Kang Liu and Jun Zhao, Event
Coreference Resolution via a Multi-loss Neural Network without Using Argument Information, In:
Proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing (CCKS 2018) .
Pengfei Cao, Yubo Chen, Kang Liu and Jun Zhao,
Adversarial Training for Relation Classification with Attention based Gate Mechanism, In:
Proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing (CCKS 2018) .
2017
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu and Jun
Zhao, Automatically Labeled Data Generation for Large Scale Event Extraction, In: Proceedings of
the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver,
Canada. (Regular Long Paper). PDF
Shulin Liu, Yubo Chen, Kang Liu and Jun Zhao,
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms,
In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL
2017), Vancouver, Canada. (Regular Long Paper) PDF
Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao, Zhunchen Luo
and Wei Luo, Improving Event Detection via Information Sharing Among Related Event Types, In:
Proceedings of the China National Conference on Chinese Computational Linguistics (CCL and
NLP-NABD 2016), Springer International Publishing. (Full Regular Oral). PDF
Jian Liu, Yubo Chen, Kang Liu and Jun Zhao,
Attention-based Event Relevance Model for Stock Price Movement Prediction, In: Proceedings of the
5th China Conference on Knowledge Graph and Semantic Computing (CCKS 2017), Chengdu, China.
(Regular Long Paper). Best Paper Award PDF
2016
Yubo Chen, Shulin Liu, Shizhu He, Kang Liu and Jun
Zhao, Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks, In:
Proceedings of the China National Conference on Chinese Computational Linguistics (CCL and
NLP-NABD 2016), Springer International Publishing. (Full Regular Oral). Best Paper AwardPDF
Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao,
Leveraging FrameNet to Improve Automatic Event Detection, In: Proceedings of the 54th Annual
Meeting of the Association for Computational Linguistics (ACL 2016). (Full Regular Poster)PDF.
2015
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng and Jun
Zhao, Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks, in Proceedings of
ACL-IJCNLP 2015, Beijing, China, July, 26-29. PDF
Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao, Distant
Supervision for Relation Extraction via Piecewise Convolutional Neural Networks, in Proceedings of
EMNLP 2015, Lisbon, Portugal, September, 17-21. PDF Code and Data
2014
Daojian Zeng, Yubo Chen, Kang Liu, Jun Zhao and Xueqiang
Lv, Learning the Distinctive Pattern Space Features for Relation Extraction, In: Proceedings of
the China National Conference on Chinese Computational Linguistics (CCL and NLP-NABD 2014),
Springer International Publishing. (Full Regular Oral). PDF
Guangyou Zhou, Yubo Chen, Daojian Zeng and Jun Zhao,
Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in
Community Question Answer Archives, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29.
PDF
2013
Yubo Chen, Liheng Xu, Shizhu He, Kang Liu and Jun Zhao,
The CASIA Entity linking System at TAC 2013, In: Proceedings of TAC 2013.
Guangyou Zhou, Yubo Chen, Daojian Zeng and Jun Zhao,
Towards Faster and Better Retrieval Models for Question Search, In: 22th ACM Conference on
Information and Knowledge Management (CIKM-2013), San Francisco, USA, October 27-November 1, 2013.
(Full Regular Oral)PDF
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen and Jun Zhao,
Mining Opinion Words and Opinion Targets in a Two-Stage Framework, in Proceedings of ACL 2013,
Sofia, Bulgaria, August 4-9. PDF
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen and Jun Zhao,
Walk and Learn: A Two-Stage Approach for Opinion Words and Opinion Targets Co-Extraction, in
Proceedings of WWW 2013, Rio de Janeiro, Brazil, May 13-17. PDF
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
Siwei Lai, Liheng Xu, Yubo Chen, Kang Liu and Jun Zhao,
Chinese Word Segment Based on Character Representation Learning, In: Proceedings of the China
National Conference on Chinese Computational Linguistics (CCL 2013).
Fang Liu, Guangyou Zhou, Yubo Chen, Kang Liu and Jun
Zhao, The Combination of Instances and Semantics for Open Relation Mapping, In: Proceedings of
CCIR 2013.