Translators in Textual Entailment

被引：0

作者：

Javier Castillo, Julio ^{[1
]}

机构：

[1] Natl Univ Cordoba, FaMAF, Cordoba, Argentina

来源：

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2010年 / 79卷

关键词：

Textual entailment; Translators; RTE datasets;

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：

This paper presents how the size of Textual Entailment Corpus could be increased by using Translators to generate additional < t, h > pairs. Also, we show the theoretical upper bound of a Corpus expanded by translators. Then, we propose an algorithm to expand the corpus size using Translator engines starting from a RTE Corpus, and finally we show the benefits that it could produce on RTE systems.

引用

页码：193 / 196

页数：4