DiSeg 1.0: The first system for Spanish discourse segmentation

被引：13

作者：

da Cunha, Iria ^{[1
,2
,3
]}

San Juan, Eric ^{[2
]}

Manuel Torres-Moreno, Juan ^{[2
,3
,4
]}

Lloberese, Marina ^{[5
]}

Castellone, Irene ^{[5
]}

机构：

[1] Univ Pompeu Fabra, Inst Univ Linguist Aplicada, Barcelona 08018, Spain

[2] Univ Avignon & Pays Vaucluse, Lab Informat Avignon, F-84911 Avignon 9, France

[3] Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City 04510, DF, Mexico

[4] Ecole Polytech, Montreal, PQ H3C 3A7, Canada

[5] Univ Barcelona, E-08007 Barcelona, Spain

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 02期

关键词：

Discourse parsing; Discourse segmentation; Shallow parsing; Rhetorical Structure Theory;

D O I：

10.1016/j.eswa.2011.06.058

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays discourse parsing is a very prominent research topic. However, there is not a discourse parser for Spanish texts. The first stage in order to develop this tool is discourse segmentation. In this work, we present DiSeg, the first discourse segmenter for Spanish, which uses the framework of Rhetorical Structure Theory and is based on lexical and syntactic rules. We describe the system and we evaluate its performance against a gold standard corpus, divided in a medical and a terminological subcorpus. We obtain promising results, which means that discourse segmentation is possible using shallow parsing. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1671 / 1678

页数：8

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