Building a high performance end-to-end explicit discourse parser for practical application

  • Jianxiang Wang
  • , Man Lan*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Proceedings
EditorsZili Zhang, Songmao Zhang, Zili Zhang, Martin Wirsing, Martin Wirsing, Martin Wirsing, Zili Zhang, Songmao Zhang, Songmao Zhang
PublisherSpringer Verlag
Pages324-335
Number of pages12
ISBN (Print)9783319251585, 9783319251585, 9783319251585
DOIs
StatePublished - 2015
Event8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015 - Chongqing, China
Duration: 28 Oct 201530 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9403
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015
Country/TerritoryChina
CityChongqing
Period28/10/1530/10/15

Keywords

  • Arguments labeling
  • Discourse Relation
  • End-to-end discourse parser

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