Question Answering for Portuguese: How Much Is Needed?

被引：0

作者：

Wilkens, Rodrigo ^{[1
]}

Villavicencio, Aline ^{[1
]}

机构：

[1] Univ Fed Rio Grande do Sul, Inst Informat, BR-90046900 Porto Alegre, RS, Brazil

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE - SBIA 2010 | 2010年 / 6404卷

关键词：

SYSTEM;

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：

The task of a Question Answering (QA) system is to automatically answer a question in natural language, searching for information in a given data source, such as structured databases or unstructured natural language documents. In this paper we investigate how much is needed in terms of tools and resources for a QA system for Brazilian Portuguese. In particular we assess the impact of shallow and deep methods and the contribution of different tools and resources in terms of the performance of the system in the task. We argue that a combination of deep and shallow strategies results in optimal performance, but that shallow methods alone may already give adequate results.

引用

页码：173 / 182

页数：10

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