A knowledge-based textual entailment approach applied to the AVE task

被引：0
|
作者：
Ferrandez, O. [1 ]
Terol, R. M. [1 ]
Munoz, R. [1 ]
Martinez-Barco, P. [1 ]
Palomar, M. [1 ]
机构：
[1] Univ Alicante, Dept Software & Comp Syst, Nat Language Proc & Informat Syst Grp, Alicante, Spain
来源：
EVALUATION OF MULTILINGUAL AND MULTI-MODAL INFORMATION RETRIEVAL | 2007年 / 4730卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose a system that has been initially used for Recognising Textual Entailment (RTE). Due to the fact that these two tasks (ANTE and RTE) rely on the same main idea, our system was considered appropriate to be applied to AVE. Our system represents texts by means of logic forms and computes the semantic similarity between them. We have also designed a voting strategy between our system and the MLEnt system also developed at the University of Alicante. Although the results have not been very high, we consider them quite promising.
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页码：490 / +
页数：2
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