Tingwen Liu /

Tingwen Liu is an Associate Researcher of the Institute of Information Engineering, Chinese Academy of Sciences and Associate Professor of the University of Chinese Academy of Sciences. 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. My research interests include Information Extraction (IE) and Knowledge Fusion, Text Understanding and Semantic Computing, Heterogeneous Network Representation, etc. [切换到中文页面]

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

 liutingwen[at]iie.ac.cn

Google Scholar  /  DBLP


News

  • [2020/10] One paper was accepted to WSDM 2021.
  • [2020/09] Four papers were accepted to COLING 2020.
  • [2020/09] Three papers were accepted to EMNLP 2020.
  • [2020/07] Two papers were accepted to WISE 2020, see you in Amsterdam and Leiden.
  • [2020/06] One paper were accepted to ECML-PKDD 2020, see you in Ghent.
  • [2020/04] One paper were accepted to ACL 2020.
  • [2020/03] Four papers were accepted to IJCNN 2020, see you in Glasgow.
  • [2020/01] Two papers were accepted to PAKDD 2020, see you in Singapore.
  • [2020/01] One paper was accepted to ECAI 2020, see you in Santiago de Compostela.
  • [2019 /11] One paper was accepted to AAAI 2020, see you in New York.

Professional Services


Selected Publications

— 2021 —

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*, Wang Yubin 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, Wang Yubin 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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