Morphological Resources for Precise Information Retrieval

被引：0
|
作者：
Ligozat, Anne-Laure [1 ,2 ]
Grau, Brigitte [1 ,2 ]
Tribout, Delphine [3 ]
机构：
[1] CNRS, LIMSI, F-91403 Orsay, France
[2] ENSIIE, F-91000 Evry, France
[3] LLF, F-75205 Paris 13, France
来源：
TEXT, SPEECH AND DIALOGUE, TSD 2012 | 2012年 / 7499卷
关键词：
morphological resources; question answering;
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：
Question answering (QA) systems aim at providing a precise answer to a given user question. Their major difficulty lies in the lexical gap problem between question and answering passages. We present here the different types of morphological phenomena in question answering, the resources available for French, and in particular a resource that we built containing deverbal agent nouns. Then, we evaluate the results of a particular QA system, according to the morphological knowledge used.
引用
收藏
页码：689 / 696
页数：8
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