Jointly Optimized Neural Coreference Resolution with Mutual Attention

Author:

Ma Jie1,Liu Jun2,Li Yufei2,Hu Xin2,Pan Yudai2,Sun Shen1,Lin Qika1

Affiliation:

1. Xi'an Jiaotong University, Xi'an, China

2. Xi'an Jiaotong University, Xi'an , China

Funder

National Natural Science Foundation of China

Innovative Research Group of the National Natural Science Foun- dation of China

National Key Research and Develop- ment Program of China

Publisher

ACM

Reference39 articles.

1. Modeling Local Coherence: An Entity-Based Approach

2. Eric Bengtson and Dan Roth. 2008. Understanding the Value of Features for Coreference Resolution. In 2008 Conference on Empirical Methods in Natural Language Processing EMNLP 2008 Proceedings of the Conference 25--27 October 2008 Honolulu Hawaii USA A meeting of SIGDAT a Special Interest Group of the ACL. 294--303. Eric Bengtson and Dan Roth. 2008. Understanding the Value of Features for Coreference Resolution. In 2008 Conference on Empirical Methods in Natural Language Processing EMNLP 2008 Proceedings of the Conference 25--27 October 2008 Honolulu Hawaii USA A meeting of SIGDAT a Special Interest Group of the ACL. 294--303.

3. Indrajit Bhattacharya and Lise Getoor. 2007. Collective entity resolution in relational data. ACM Transactions on Knowledge Discovery from Data (TKDD) 1 1 (2007) 5. Indrajit Bhattacharya and Lise Getoor. 2007. Collective entity resolution in relational data. ACM Transactions on Knowledge Discovery from Data (TKDD) 1 1 (2007) 5.

4. Entity-Centric Coreference Resolution with Model Stacking. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing;Clark Kevin;ACL,2015

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