Tingwen Liu /

Tingwen Liu is a Full Professor of the Institute of Information Engineering, Chinese Academy of Sciences and the University of Chinese Academy of Sciences. He is also a member of Youth Innovation Promotion Association CAS. He received his Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences in 2013, under the supervision of Binxing Fang and Li Guo. His research interests include Information Extraction, Text Matching and Knowledge Graph etc. [切换到中文页面]

 89-A, Minzhuang Road, Haidian District, Beijing, China

 liutingwen[at]iie.ac.cn

Google Scholar  /  DBLP


Professional Services


Selected Publications

— 2022 —

Contrastive Cross-Domain Sequential Recommendation
Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu* and Bin Wang
The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21 2022.

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration
Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu*, Cheng Fu, Jingyang Li, chengguang Tang and Jian Sun
The 30th ACM International Conference on Multimedia (ACM MM 2022), Lisbon, Portugal, October 10-14 2022.
Acceptance rate: 242/932=26%

Multi-Interest Extraction Joint with Contrastive Learning for News Recommendation
Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu and Hongbo Xu
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Grenoble, France, September 19-23 2022.
Acceptance rate: 242/932=26%

Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction
Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu* and Hongbo Xu
The 34th International Conference on Software Engineering & Knowledge Engineering (SEKE 2022), Pittsburgh, USA, July 1-10 2022.

Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition
Xinghua Zhang, Bowen Yu, Tingwen Liu*, Yubin Wang, Taoyu Su and Hongbo Xu
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 11-15 2022.
Acceptance rate: 161/794=20.3%

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu* and Bin Wang
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 11-15 2022.
Acceptance rate: 161/794=20.3%

CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection
Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu and Hongbo Xu
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 11-15 2022.
Acceptance rate: 161/794=20.3%

Item Similarity Mining for Multi-Market Recommendation (Short Paper)
Jiangxia Cao, Xin Cong, Tingwen Liu* and Bin Wang
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 11-15 2022.
Acceptance rate: 165/667=24.7%

Relation-Guided Few-Shot Relational Triple Extraction (Short Paper)
Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu* and Bin Wang
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 11-15 2022.
Acceptance rate: 165/667=24.7%

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu* and Bin Wang
The 38th IEEE International Conference on Data Engineering (ICDE 2022), Virtual, May 9-12 2022.

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph
Yanzeng Li#, Jiangxia Cao#, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu*, Tingwen Liu*
The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, May 22-27 2022.

Document-Level Event Extraction via Human-like Reading Process
Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu*, Yucheng Wang and Jinqiao Shi
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Virtual, May 7-13 2022.

— 2021 —

Maximal Clique Based Non-Autoregressive Open Information Extraction
Bowen Yu, Yucheng Wang, Tingwen Liu*, Hongsong Zhu, Limin Sun and Bin Wang
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online and in the Dominican Republic, November 7-11, 2021.

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
Xinghua Zhang, Bowen Yu, Tingwen Liu*, Zhenyu Zhang, Jiawei Sheng, Xue Mengge and Hongbo Xu
The 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2021), Online and in the Dominican Republic, November 7-11, 2021.

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu*
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), Online, September 13-17, 2021.

Deep Structural Point Process for Learning Temporal Interaction Networks
Jiangxia Cao, Xixun Lin*, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu*, Bin Wang
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), Online, September 13-17, 2021.

Discontinuous Named Entity Recognition as Maximal Clique Discovery
Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu*, Nan Yu, Limin Sun
The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), Bangkok, Thailand, August 1-6, 2021.

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu*, Wang Yubin, Bin Wang
The 59th Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2021), Bangkok, Thailand, August 1-6, 2021.

From What to Why: Improving Relation Extraction with Rationale Graph   |   
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Xue Mengge, Tingwen Liu*, Li Guo
The 59th Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2021), Bangkok, Thailand, August 1-6, 2021.

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction   |   
Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu*, Hongbo Xu
The 59th Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2021), Bangkok, Thailand, August 1-6, 2021.

FITAnnotator: A Flexible and Intelligent Text Annotation System (Demo Paper)   |   
Yanzeng Li, Bowen Yu, Li Quangang, Tingwen Liu*
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021), Online, June 6-11, 2021.

SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection
Jiapeng Zhao, Panpan Zhang, Tingwen Liu*, Jinqiao Shi
The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021), Delhi, India, May 11-14, 2021.

Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information   |   
Boxin Li, Tingwen Liu*, Bin Wang, Lihong Wang
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, Ontario, Canada, June 6-11, 2021.

Semi-Open Information Extraction   |   
Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu*, Yubin Wang, Yucheng Wang and Bin Wang
The Web Conference 2021 (WWW 2021), Ljubljana, April 19-23, 2021.
Acceptance rate: 357/1736=20.6%

Heterogeneous Graph Neural Networks for Query-focused Summarization   |   
Jing Ya, Tingwen Liu, Jiangxia Cao and Li Guo
SIAM International Conference on Data Mining (SDM 2021), Alexandria, Virginia, U.S, April 29 - May 1, 2021.
Acceptance rate: 85/400=21.5%

Bipartite Graph Embedding via Mutual Information Maximization   |   
Jiangxia Cao#, Xixun Lin#, Shu Guo*, Luchen Liu, Tingwen Liu* and Bin Wang
The 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 8-12, 2021.
Acceptance rate: 112/603=18.6%

— 2020 —

Porous Lattice Transformer Encoder for Chinese NER   |   
Xue Mengge, Bowen Yu, Tingwen Liu*, Yue Zhang, Erli Meng and Bin Wang
The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, December 8-13, 2020.

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction   |   
Bowen Yu, Xue Mengge, Zhenyu Zhang, Tingwen Liu*, Yubin Wang and Bin Wang
The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, December 8-13, 2020.

Document-level Relation Extraction with Dual-tier Heterogeneous Graph   |   
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu*, Hengzhu Tang, Yubin Wang and Li Guo
The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, December 8-13, 2020.

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking   |   
Yucheng Wang, Bowen Yu*, Yueyang Zhang, Tingwen Liu, Hongsong Zhu and Limin Sun
The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, December 8-13, 2020.

Coarse-to-Fine Pre-training for Named Entity Recognition   |   
Xue Mengge, Bowen Yu, Zhenyu Zhang, Tingwen Liu*, Yue Zhang and Bin Wang
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Online, November 16-20, 2020.
Acceptance rate: 754/3114=24.82%

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion   |   
Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang*, Tingwen Liu, Hongbo Xu
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Online, November 16-20, 2020.
Acceptance rate: 754/3114=24.82%

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation   |   
Shiyao Cui, Bowen Yu, Tingwen Liu*, Zhenyu Zhang, Xuebin Wang and Jinqiao Shi
Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2020), Online, November 16-20, 2020.

A Compare-Aggregate Model with External Knowledge for Query-focused Summarization   |   
Jing Ya, Tingwen Liu, Li Guo
The 21st International Conference on Web Information Systems Engineering (WISE 2020), Amsterdam and Leiden, Netherlands, October 20-24, 2020.

Fine-grained Semantics-aware Heterogeneous Graph Neural Networks   |   
Yubin Wang, Zhenyu Zhang, Tingwen Liu*, Hongbo Xu, Jingjing Wang and Li Guo
The 21st International Conference on Web Information Systems Engineering (WISE 2020), Amsterdam and Leiden, Netherlands, October 20-24, 2020.

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering   |   
Xin Cong, Bowen Yu, Tingwen Liu*, Shiyao Cui, Hengzhu Tang, Bin Wang
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020), Ghent, Belgium, September 14-18, 2020.
Acceptance rate: 131/687=19.1%

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention (Short Paper)   |   
Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu*
The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), July 5-10, 2020.
Acceptance rate: 208/1185=17.6%

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population   |  
Zhenyu Zhang, Xiaobo Shu, Tingwen Liu*, Zheng Fang, Quangang Li
The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19–24, 2020.

DRG2vec: Learning Word Representations from Definition Relational Graph  |  
Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu*
The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19–24, 2020.

BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph  |  
Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu*
The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19–24, 2020.

Label Noise Robust Curriculum for Deep Paraphrase Identification  |  
Boxin Li, Tingwen Liu*, Bin Wang, Lihong Wang
The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19–24, 2020.

Strong Baselines for Author Name Disambiguation with and without Neural Networks  |   
Zhenyu Zhang, Bowen Yu, Tingwen Liu*, Dong Wang
The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), pages 369-381, Singapore, May 11-14, 2020.
Acceptance rate: 135/628=21.5%

SLGAT: Soft Labels Guided Graph Attention Networks  |   
Yubin Wang, Zhenyu Zhang, Tingwen Liu*, Li Guo
The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), pages 512-523, Singapore, May 11-14, 2020.
Acceptance rate: 135/628=21.5%

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy  |   
Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu*, Yubin Wang, Bin Wang and Sujian Li
The 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, August 29-September 5,2020.
Acceptance rate: 365/1363=26.8%

Distilling Knowledge from Well-informed Soft Labels for Neural Relation Extraction  |   
Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu*, Jiapeng Zhao, Quangang Li, Li Guo
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pages 9620-9627, New York, USA, February 7-12,2020.
Acceptance rate: 1591/7737=20.6%

— 2019 —

Revising Attention with Position for Aspect-Level Sentiment Classification
Dong Wang, Tingwen Liu*, Bin Wang
The 28th International Conference on Artificial Neural Networks (ICANN 2019), pages 130-142, Munich, Germany, September 17-19, 2019.

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction  |   
Bowen Yu, Zhenyu Zhang, Tingwen Liu*, Bin Wang, Sujian Li and Quangang Li
The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pages 5401-5407, Macao, China, August 10-16, 2019.
Acceptance rate: 850/4752=17.9%

ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information  |   
Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu*, Diying Li, Jinqiao Shi
The 2019 International Joint Conference on Neural Networks (IJCNN 2019), pages 1-8, Budapest, Hungary, July 14-19, 2019.

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