Jun Zhao 赵军

Jun Zhao, Kang Liu, Shizhu He， Yubo Chen and Yuanzhe Zhang. Knowledge Graph: algorithm and practice. Higher Education Press, 2022.
Jun Zhao, Kang Liu, Shizhu He and Yubo Chen. Knowledge Graph. Higher Education Press, 2018.12.
Jun Zhao, Kang Liu, Guangyou Zhou, Xianpei Han, Zhenyu Qi, and Yang Liu. Knowledge Extraction from Wiki/BBS/Blogs/News Websites. In the book of Mining of User Generated Content. CRC Press, 2014.
Bing Liu (Author). Kang Liu and Jun Zhao (Translators). Sentiment Analysis: Mining Opinions, Sentiments and Emotions. China Machine Press, 2017.10. Link

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 22-27.Hot
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu and Jun Zhao. Logic Traps in Evaluating Attribution Scores. In Proceedings of ACL 2022 (Long Paper), 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 (Short Paper), Dublin, Ireland, May 22-27.
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 (Short Paper), Dublin, Ireland, May 22-27.

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 Demo, Punta Cana, Dominican Republic, November 7-11.Hot
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.
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.
Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia and Zhicheng Sheng, Scene Restoring for Narrative Machine Reading Comprehension, 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.
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.
Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Shengping Liu, Kang Liu and Jun Zhao. MIE: A Medical Information Extractor towards Medical Dialogues, in Proceedings of ACL 2020, Seattle, USA, July 5-10.

2019

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.
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.
Bingning Wang, Zhixing Tian, Kang Liu, Jun Zhao, Ting Yao, Qi Zhang, Jingfang Xu, Document Gated Reader for Open Domain Question Answering. In Proceedings of the SIGIR 2019. Paris, France, July 21-25, 2019
Shizhu He,Kang Liu and Weiting An, Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks, in Proceedings of AAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1. PDF
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. PDF
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

Xiangrong Zeng, Shizhu He, Kang Liu and Jun Zhao, Large Scaled Relation Extraction with Reinforcement Learning, in Proceedings of AAAI 2018, Louisiana, New Orleans, USA, February 2-7.
Jian Liu, Yubo Chen, Kang Liu and Jun Zhao, Event Detection via Gated Multilingual Attention Mechanism, in Proceedings of AAAI 2018, Louisiana, New Orleans, USA, February 2-7.
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu and Jun Zhao, Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism, in Proceedings of ACL 2018, Melbourne, Australia, July 15-20.
Hang Yang, Yubo Chen, Kang Liu, Yang Xiao and Jun Zhao, DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data, in Proceedings of ACL 2018, Melbourne, Australia, July 15-20.
Cao Liu, Shizhu He, Kang Liu and Jun Zhao, Curriculum Learning for Natural Answer Generation, in Proceedings of IJCAI-ECAI 2018, Stockholm, Sweden, July 13-19.
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu. Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism, in Proceedings of EMNLP 2018, Brussels, Belgium, October 31–November 4.
Yubo Chen, Hang Yang, Kang Liu, Jun Zhao and Yantao Jia. Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms, in Proceedings of EMNLP 2018, Brussels, Belgium, October 31–November 4.
Bingning Wang, Kang Liu, Jun Zhao. Deep Semantic Hashing with Multi-Adversarial Training, in Proceedings of CIKM 2018, Torino, Italy, October 22–26.

2017

Bingning Wang, Kang Liu and Jun Zhao, Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. In: Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI-2017). (Regular Long Paper)PDF
Shizhu He, Cao Liu, Kang Liu and Jun Zhao, Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Regular Long Paper). PDF
Xuepeng Wang, Kang Liu and Jun Zhao, Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada.(Regular Long Paper). PDF
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
Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu and Jun Zhao, An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Regular Long Paper).PDF
Guolaing Ji, Kang Liu, Shizhu He and Jun Zhao, Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions, In Proceedings of AAAI 2017, USA, February, 4-9. (Regular Long Paper).
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. (Regular Long Paper).

2016

Guoliang JI, Kang LIU, Jun Zhao, Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions, In: AAAI 2017.
Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao, Learning to Represent Review with Tensor Decomposition for Spam Detection, In: EMNLP 2016. (Full Regular Poster).
Zhuoyu Wei, Jun Zhao, Kang Liu, Mining Inference Formulas by Goal-Directed Random, In: EMNLP 2016. (Full Regular Oral)
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).
Bingning Wang, Kang Liu, and Jun Zhao, Inner Attention based Recurrent Neural Networks for Answer Selection. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). (Full Regular Poster)
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 Award)
Bingning Wang, Shangmin Guo, Kang Liu, Shizhu he and Jun Zhao, Employing External Rich Knowledge for Machine Comprehension. In: Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI-2016). (Full Regular Oral)
Guoliang Ji, Kang Liu, Shizhu He and Jun Zhao, Knowledge Graph Completion with Adaptive Sparse Transfer Matrix, To appear in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17. PDF Code
Shulin liu, Kang Liu, Shizhu He and Jun Zhao, A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification, To appear in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17 PDF
Yuanzhe Zhang, Shizhu He, Kang Liu and Jun Zhao, A Joint Model for Question Answering over Multiple Knowledge Bases, To appear in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17. PDF
Siwei Lai, Kang Liu, Shizhu He, Jun Zhao, How to Generate a Good Word Embedding? In: IEEE Intelligent Systems. (Full Regular). Doi: 10.1109/MIS.2016.45

2015

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
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. PDF
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. PDF Code
Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi and Guanhua Tian, Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances, in Proceedings of CIKM 2015, Melbourne, Astralia, October, 19-23. PDF Code
Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao and Gerard de Melo, Sentiment-Aspect Extraction based on Restricted Boltzmann Machines, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29. PDF
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. PDF
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
Siwei Lai, Liheng Xu, Kang Liu and Jun Zhao, Recurrent Convolutional Neural Networks for Text Classification, in Proceedings of AAAI 2015, Austin Texas, USA, January, 25-23. PDF Code

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
Kang Liu, Liheng Xu and Jun Zhao, Co-extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model, IEEE Transaction on Knowledge and Data Engineering (TKDE), VOL. 27, Issue No. 03 pp. 636-650. PDF
Kang Liu, Liheng Xu and Jun Zhao, Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking, in Proceedings of ACL 2014, Baltimore, USA, June 22-27. PDF
Liheng Xu, Kang Liu, Siwei Lai and Jun Zhao, Product Feature Mining: Semantic Clues versus Syntactic Constituents, in Proceedings of ACL 2014, Baltimore, USA, June 22-27. PDF
Liheng Xu, Kang Liu and Jun Zhao, Joint Opinion Relation Detection Using One-Class Deep Neural Network, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. PDF
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao, Relation Classification via Convolutional Deep Neural Network, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. Best Paper Award PDF
Yang Liu, Kang Liu, Liheng Xu and Jun Zhao, Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. 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

Kang Liu, Liheng Xu and Jun Zhao, Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews, in Proceedings of ACL 2013, Sofia, Bulgaria, August 4-9. 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
Kang Liu, Liheng Xu and Jun Zhao, Opinion Target Extraction Using Partially-Supervised Word Alignment Model, in Proceedings of IJCAI 2013, Beijing, China, August 5-9. PDF
Tao Zhang, Kang Liu and Jun Zhao, Cross Lingual Entity Linking with Bilingual Topic Model, in Proceedings of IJCAI 2013, Beijing, China, August 5-9. 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
DElizabeth Cano, Yulan He, Kang Liu and Jun Zhao, A Weakly Supervised Bayesian Model for Violence Detection in Social Media, In Proceedings of IJCNLP 2013, Nagoya, Japan, October 14-18. PDF
Yang Liu, Fang Liu, Siwei Lai, Kang Liu, Guangyou Zhou, Jun Zhao, Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge, In Proceedings of IJCNLP 2013, Nagoya, Japan, October 14-18. PDF
Yang Liu, Shulin Liu, Kang Liu, Guangyou Zhou and Jun Zhao, Exploring Distinctive Features in Distant Supersivion for Relation Extraction, in Proceedings of AIRS 2013, Singapore, December 9-11. PDF
Fang Liu, Guangyou Zhou, Kang Liu, Jun Zhao, Shizhu He and Shulin Liu, Open Relation Mapping based on Instance and Semantics Expansion, in Proceedings of AIRS 2013, Singapore, December 9-11. 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
Guangyou Zhou, 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)
Guangyou Zhou, Fang Liu, Shizhu He, and Jun Zhao, Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization, In: Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), Sofia, Bulgaria, August 4-9, 2013 (Full Regular Oral)
Guangyou Zhou and Jun Zhao. Joint Inference for Heterogeneous Dependency Parsing. In: Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), Sofia, Bulgaria, August 4-9, 2013 (Short paper)
Guangyou Zhou, Yang Liu, Daojian Zeng, and Jun Zhao, Improving Question Retrieval in Community Question Answering Using World Knowledge, In: Proceedings of 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013), Beijing, China, August 3-9, 2013 (Full Regular Poster)

2012

Kang Liu, Liheng Xu and Jun Zhao, Opinion Target Extraction Using Word-Based Translation Model, In Proceedings of EMNLP-CoNLL 2012, Jeju, Korea, July (oral). PDF
Guangyou Zhou, Kang Liu and Jun Zhao. Joint Relevance and Answer Quality Learning for Question Routing in Community QA. In Proceedings of 21th ACM Conference on Information and Knowledge Management (CIKM 2012), pages 1492-1496, Maui, Hawaii, USA, October 29-November 2, 2012. (oral) PDF
Guangyou Zhou, Siwei Lai, Kang Liu and Jun Zhao. Topic-Sensitive Probabilistic Model for Expert Finding in Question Answer Communities. In Proceedings of 21th ACM Conference on Information and Knowledge Management (CIKM 2012), pages 1662-1666,Maui, Hawaii, USA, October 29-November 2, 2012. (oral) PDF
Guangyou Zhou, Li Cai, Kang Liu and Jun Zhao. Exploring the existing category hierarchy to automatically labeling the newly-arising topics in cQA. In Proceedings of 21th ACM Conference on Information and Knowledge Management (CIKM 2012), pages 1492-1496, Maui, Hawaii, USA, October 29-November 2, 2012. PDF
Guangyou Zhou, Kang Liu and Jun Zhao. Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering. In Proceedings of International Conference on Computational Linguistics (COLING 2012), pages 3153–3170, Mumbai, India, December 8-15, 2012. (oral) PDF
Zhenyu Qi, Kang Liu and Jun Zhao. Are Human-input Seeds good enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge. In Proceedings of AIRS 2012, TianJin, China. (oral) PDF
Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang. Hybrid Recommendation Models for Binary User Preference Prediction Problem, Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings 18: 137-151, 2012, Proceedings of KDD-Cup Competition. PDF
Xingxing Wang, Shijie Lin, Dongying Kong, Liheng Xu, Qiang Yan, Siwei Lai, Liang Wu, Guibo Zhu, Heng Gao, Yang Wu, Danny Bickson, Yuanfeng Du, Neng Gong, Chengchun Shu, Shuang Wang, Kang Liu,Jun Zhao, Fei Tan, Yuanchun Zhou. Click-Through Prediction for Sponsored Search Advertising with Hybrid Models. In ACM KDD CUP workshop 2012. PDF

2011

Li Cai, Guangyou Zhou, Kang Liu and Jun Zhao, Learning the Latent Topics for Question Retrieval in Community QA, In Proceedings of IJCNLP 2011. PDF
Guangyou Zhou, Li Cai, Kang Liu and Jun Zhao, Improving Dependency Parsing with Fined-Grained Features, In Proceedings of IJCNLP 2011. PDF
Li Cai, Guangyou Zhao, Kang Liu and Jun Zhao, Learning to Classify Questions in cQA by Leveraging Wikipedia Semantic Knowledge, In Proceedings of CIKM 2011 (oral) PDF
Guangyou Zhou, Li Cai, Jun Zhao and Kang Liu, Phrase-based Translation Model for Question Retrieval in Community Question Answer Archives, In Proceedings of The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Portland, Oregon, USA, June 19-24, 2011. (oral) PDF
Guangyou Zhou, Jun Zhao, Kang Liu and Li Cai. Exploring Web-Derived Selectional Preferance to Improve Statistical Dependency Parsing, In Proceedings of The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Portland, Oregon, USA, June 19-24, 2011. PDF
Jun Zhao, Kang Liu, Guanyou Zhou and Li Cai. Open Information Extraction. Journal of Chinese Information Processing. Vol 25, No. 06, pp 98-110, 2011. (In Chinese)
Xianpei HAN, Le SUN, Jun Zhao, Collective Entity Linking in Web Text: A Graph-Based Method, In: The Proceedings of The 34th Annual ACM SIGIR Conference) (SIGIR-2011), Beijing, China, July 24-28, 2011. （Full Regular Oral）

2010

HAN Xianpei, Jun Zhao, Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation, In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010), Uppsala, Sweden, July 11–16, 2010. （Full Regular Oral）
HAN Xianpei, Jun Zhao, Topic-Driven Web Search Result Organization by Leveraging Wikipedia Semantic Knowledge，In: Proceedings of The 19th ACM Conference on Information and Knowledge Management (CIKM 2010), Toronto, Canada, October 26-30, 2010 (Poster)

2009

Kang Liu and Jun Zhao. Cross-Domain Sentiment Classification using a Two-Stage Method. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM). November 2-6, 2009, Hong Kong. PDF
Fan Yang, Jun Zhao and Kang Liu. A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment. In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), August, 2-7, 2009, Singapore. PDF
Xianpei HAN, Jun Zhao. Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge. In: Proceedings of The 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, November 2-6, 2009 （Full Regular Oral）
Jun Zhao. A Survey on Named Entity Recognition, Disambiguation and Cross-Lingual Coreference Resolution. Journal of Chinese Information Processing. Vol 23, No. 02, pp 3-17, 2009. (In Chinese)

2008

Jun Zhao, Kang Liu and Gen Wang. Adding Redundant Features for CRFs-based Sentence Sentiment Classification. In Proceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP). October 25-27, 2008, Hawaii (oral) PDF
Kang Liu and Jun Zhao. NLPR at Multilingual Opinion Analysis Task in NTCIR 7. In Proceedings of NII Test Collection for IR Systems (NTCIR 7), December, 16-19, 2008, Tokyo, Japan. PDF
Kang Liu and Jun Zhao. Domain Adaptation in NLP based on Hybrid Generative and Discriminative Model. In Proceedings of Chinese Conference of Pattern Recognition (CCPR), 2008, Beijing, China. Oct. 22-24 (In Chinese). Best Student Paper Award PDF
Kang Liu and Jun Zhao. Sentence Sentiment Analysis Based on Cascaded CRFs Model. Journal of Chinese Information Processing. Vol 22, No. 01, pp 123-128, 2008. (In Chinese)
Xianpei Han, Kang Liu and Jun Zhao. A Web-page Content Block Detection Method Based on Layout Features and Language Features. Journal of Chinese Information Processing. Vol 22. No. 01. pp 15-21, 2008. (In Chinese)
Fan Yang, Jun Zhao, Bo Zou, Kang Liu and Feifan Liu. Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages . In Proceedings. of the 46th Annual Meeting of the Association for Computational Linguistics (ACL), June, 16-18, 2008, Ohio, USA. PDF
Jun Zhao, LIU Feifan, Product Named Entity Recognition in Chinese Texts, International Journal of Language Resource and Evaluation (LRE), Vol.42 No.2 132-152, 2008 (SCI).
Duan Xiangyu, Jun Zhao, Word Sense Disambiguation through Sememe Labeling, In: Proceedings of Twentieth International Joint Conference on Artificial Intelligence (IJCAI-2007), Hyderabad, India, 2007: 1594-1599（Full Regular Poster）

2007

Xiangyu Duan, Jun Zhao, Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing, In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007), Prague, Czech Republic, 940-946, 2007 （Full Regular Oral）
Youzheng Wu, Jun Zhao, Xu Bo，Chinese Named Entity Recognition Model Based on Multiple Features. In: Proceedings of the Joint Conference of Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMNLP 2005), Vancouver, 2005:427~434
Xiangyu Duan, Jun Zhao, Probabilistic Models for Action-based Chinese Dependency Parsing, In: Proceedings of the 18th European Conference on Machine Learning and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2007), Warsaw, Poland, September 17-21, 2007 （Full Regular Oral, Acceptance Rate: 19.93%）
Xiangyu Duan, Jun Zhao, Ungreedy Methods for Chinese Deterministic Dependency Parsing. In: Proceedings of Twenty-second Conference of Association for Artificial Intelligence Student Session (AAAI-2007). Vancouver, Canada, July 22-23, 2007 （Short Paper）
Jun Zhao, LIU Feifan, Linguistic Theory Based Contextual Evidence Mining for Statistical Chinese Co-reference Resolution, In: Journal of Computer Science and Technology (JCST), Vol.22 No.4:608-617, 2007 (SCI)
Kang Liu, Gen Wang, Xianpei Han and Jun Zhao. NLPR in TREC 2007 Blog Track. In Proceedings of Text Retrieval Conference (TREC) 2007, USA. PDF

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