Experimenting with a Question Answering System for the Arabic Language

被引：0
|
作者：
Bassam Hammo
Saleem Abuleil
Steven Lytinen
Martha Evens
机构：
[1] University of Jordan,King Abdullah II School of Information Technology
[2] Chicago State University,Department of Information Systems
[3] Depaul University,CTI
[4] Illinois Institute of Technology,Computer Science
来源：
Computers and the Humanities | 2004年 / 38卷
关键词：
Arabic; proper nouns; Question-Answering; semantic tagging; shallow parsing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The World Wide Web (WWW) today is so vast that it has become more and more difficult to find answers to questions using standard search engines. Current search engines can return ranked lists of documents, but they do not deliver direct answers to the user. The goal of Open Domain Question Answering (QA) systems is to take a natural language question, understand the meaning of the question, and present a short answer as a response based on a repository of information. In this paper we present QARAB, a QA system that combines techniques from Information Retrieval and Natural Language Processing. This combination enables domain independence. The system takes natural language questions expressed in the Arabic language and attempts to provide short answers in Arabic. To do so, it attempts to discover what the user wants by analyzing the question and a variety of candidate answers from a linguistic point of view.
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页码：397 / 415
页数：18
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