Discourse Segmentation for Spanish Based on Shallow Parsing

被引：0

作者：

da Cunha, Iria ^{[1
]}

SanJuan, Eric ^{[1
]}

Torres-Moreno, Juan-Manuel ^{[1
]}

Lloberes, Marina ^{[1
]}

Castellon, Irene ^{[1
]}

机构：

[1] Inst Appl Linguist UPF, Barcelona, Spain

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, MICAI 2010, PT I | 2010年 / 6437卷

关键词：

Discourse Parsing; Discourse Segmentation; Rhetorical Structure Theory;

D O I：

暂无

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, obtaining promising results.

引用

页码：13 / 23

页数：11

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