@inproceedings{3d1b319c533247c38a9cc68158796752,
title = "A Systematic Investigation of Neural Models for Chinese Implicit Discourse Relationship Recognition",
abstract = "The Chinese implicit discourse relationship recognition is more challenging than English due to the lack of discourse connectives and high frequency in the text. So far, there is no systematical investigation into the neural components for Chinese implicit discourse relationship. To fill this gap, in this work we present a component-based neural framework to systematically study the Chinese implicit discourse relationship. Experimental results showed that our proposed neural Chinese implicit discourse parser achieves the SOTA performance in CoNLL-2016 corpus.",
keywords = "Chinese implicit discourse relation recognition, deep learning, word embedding",
author = "Dejian Li and Man Lan and Yuanbin Wu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 23rd International Conference on Asian Language Processing, IALP 2019 ; Conference date: 15-11-2019 Through 17-11-2019",
year = "2019",
month = nov,
doi = "10.1109/IALP48816.2019.9037686",
language = "英语",
series = "Proceedings of the 2019 International Conference on Asian Language Processing, IALP 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "390--395",
editor = "Man Lan and Yuanbin Wu and Minghui Dong and Yanfeng Lu and Yan Yang",
booktitle = "Proceedings of the 2019 International Conference on Asian Language Processing, IALP 2019",
address = "美国",
}