@inproceedings{684016fa7a5a4f13af63adca64e85038,
title = "Building a high performance end-to-end explicit discourse parser for practical application",
abstract = "To build practical end-to-end discourse parser, labeling arguments to discourse is the bottleneck to improve performance of whole parser. In consideration of the difference between syntactic and discourse arguments of connectives and the difference between two arguments to discourse in SS and PS cases, we present a method to build two separate argument extractors for two arguments. To evaluate the performance of whole parser, we build an end-to-end explicit discourse parser on PDTB. Experimental results showed that our proposed discourse parser achieved the best performance on explicit discourse so far.",
keywords = "Arguments labeling, Discourse Relation, End-to-end discourse parser",
author = "Jianxiang Wang and Man Lan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015 ; Conference date: 28-10-2015 Through 30-10-2015",
year = "2015",
doi = "10.1007/978-3-319-25159-2\_30",
language = "英语",
isbn = "9783319251585",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "324--335",
editor = "Zili Zhang and Songmao Zhang and Zili Zhang and Martin Wirsing and Martin Wirsing and Martin Wirsing and Zili Zhang and Songmao Zhang and Songmao Zhang",
booktitle = "Knowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Proceedings",
address = "德国",
}