Recovering dropped pronouns in Chinese conversations via modeling their referents

Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue


Abstract
Pronouns are often dropped in Chinese sentences, and this happens more frequently in conversational genres as their referents can be easily understood from context. Recovering dropped pronouns is essential to applications such as Information Extraction where the referents of these dropped pronouns need to be resolved, or Machine Translation when Chinese is the source language. In this work, we present a novel end-to-end neural network model to recover dropped pronouns in conversational data. Our model is based on a structured attention mechanism that models the referents of dropped pronouns utilizing both sentence-level and word-level information. Results on three different conversational genres show that our approach achieves a significant improvement over the current state of the art.
Anthology ID:
N19-1095
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Editors:
Jill Burstein, Christy Doran, Thamar Solorio
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
892–901
Language:
URL:
https://aclanthology.org/N19-1095
DOI:
10.18653/v1/N19-1095
Bibkey:
Cite (ACL):
Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, and Nianwen Xue. 2019. Recovering dropped pronouns in Chinese conversations via modeling their referents. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 892–901, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Recovering dropped pronouns in Chinese conversations via modeling their referents (Yang et al., NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/N19-1095.pdf
Code
 ningningyang/NDPR