@inproceedings{3b23e1a35ea04794a32e8d82afd8dbdd,
title = "Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship Parser",
abstract = "The neural components in deep learning framework are crucial for the performance of many natural language processing tasks. So far there is no systematic work to investigate the influence of neural components on the performance of implicit discourse relation recognition. To address it, in this work we compare many different components and build two implicit discourse parsers base on the sequence and structure of sentence respectively. Experimental results show due to different linguistic features, the neural components have different effects in English and Chinese. Besides, our models achieve state-of-the-art performance on CoNLL-2016 English and Chinese datasets.",
keywords = "Deep learning, Implicit discourse relation classification, Neural network, Word embedding",
author = "Dejian Li and Man Lan and Yuanbin Wu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 18th China National Conference on Computational Linguistics, CCL 2019 ; Conference date: 18-10-2019 Through 20-10-2019",
year = "2019",
doi = "10.1007/978-3-030-32381-3\_12",
language = "英语",
isbn = "9783030323806",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "143--155",
editor = "Maosong Sun and Yang Liu and Zhiyuan Liu and Xuanjing Huang and Heng Ji",
booktitle = "Chinese Computational Linguistics - 18th China National Conference, CCL 2019, Proceedings",
address = "德国",
}