Building TALAA-AFAQ, a Corpus of Arabic FActoid Question-Answers for a Question Answering System

被引：7
|
作者：
Aouichat, Asma [1 ]
Guessoum, Ahmed [1 ]
机构：
[1] Univ Sci & Technol Houari Boumediene, Lab Res Artificial Intelligence LRIA, Algiers, Algeria
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2017 | 2017年 / 10260卷
关键词：
Factoid questions; Answer patterns; Arabic question-answer corpus;
D O I：
10.1007/978-3-319-59569-6_46
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we describe the development of TALAAAFAQ, a Corpus of Arabic Factoid Question Answers that is developed to be used in the training modules of an Arabic Question Answering System (AQAS). The process of building our corpus consists of five steps, in which we extract syntactic, semantic features and other information. In addition, we extract a set of answer patterns for each question from the web. The corpus contains 2002 question answer pairs. Out of these, 618 question-answer pairs have their answer-patterns. The corpus is divided into four main classes and 34 finer categories. All answer patterns and features have been validated by experts on Arabic. To the best of our knowledge, this is the first corpus of Arabic Factoid Question Answers which is specifically built to support the development of Arabic QASs (AQAS).
引用
收藏
页码：380 / 386
页数：7
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