Corpus-based question classification in question answering systems

被引：0

作者：

Tomas, David ^{[1
]}

机构：

[1] Univ Alicante, Dept Lenguajes & Sistemas Informat, Carretera San Vicente del Raspeig S-N, Alicante 03690, Spain

来源：

PROCESAMIENTO DEL LENGUAJE NATURAL | 2010年 / 44期

关键词：

Question classification; question answering; supervised learning; semi supervised learning; minimally-supervised learning;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

This thesis is focused on the development of question classification systems that are easily adaptable to different languages and domains. These systems are based on machine learning techniques and corpus, following a statistical approach to human language. The goal is to almost avoiding the need for linguistic tools and resources, obtaining flexible systems with few requirements.

引用

页码：155 / 156

页数：2

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