Building a High Performance End-to-End Explicit Discourse Parser for Practical Application

被引：0

作者：

Wang, Jianxiang ^{[1
]}

Lan, Man ^{[1
,2
]}

机构：

[1] E China Normal Univ, Dept Comp Sci & Technol, Shanghai 200062, Peoples R China

[2] E China Normal Univ, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200062, Peoples R China

来源：

KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2015 | 2015年 / 9403卷

关键词：

End-to-end discourse parser; Arguments labeling; Discourse relation;

D O I：

10.1007/978-3-319-25159-2_30

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：324 / 335

页数：12

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