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

页码：380 / 386

页数：7

共 50 条

[21] Finding relevant answers in question answering system contest
Ramamonjisoa, DR
8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS: INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2004, : 533 - 538
[22] LEMAZA: An Arabic why-question answering system*
Azmi, Aqil M.
Alshenaifi, Nouf A.
NATURAL LANGUAGE ENGINEERING, 2017, 23 (06) : 877 - 903
[23] DAWQAS: A Dataset for Arabic Why Question Answering System
Ismail, Walaa Saber
Homsi, Masun Nabhan
ARABIC COMPUTATIONAL LINGUISTICS, 2018, 142 : 123 - 131
[24] An improvement of Bengali factoid question answering system using unsupervised statistical methods
Das, Arijit
Mandal, Jaydeep
Danial, Zargham
Pal, Alok Ranjan
Saha, Diganta
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2022, 47 (01):
[25] Design and Performance Analysis of a Factoid Question Answering System for Spontaneous Speech Transcriptions
Surdeanu, Mihai
Dominguez-Sal, David
Comas, Pere R.
INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 1165 - 1168
[26] An improvement of Bengali factoid question answering system using unsupervised statistical methods
Arijit Das
Jaydeep Mandal
Zargham Danial
Alok Ranjan Pal
Diganta Saha
Sādhanā, 2022, 47
[27] Building a Question Answering System for the Manufacturing Domain
Liu Xingguang
Cheng Zhenbo
Shen Zhengyuan
Zhang Haoxin
Meng Hangcheng
Xu Xuesong
Xiao Gang
IEEE ACCESS, 2022, 10 : 75816 - 75824
[28] Semantics-based answers selection in question answering system
Sun, X
Zheng, QH
ADVANCES IN WEB-BASED LEARNING - ICWL 2004, 2004, 3143 : 354 - 362
[29] A comprehensive survey of techniques for developing an Arabic question answering system
Alkhurayyif, Yazeed
Sait, Abdul Rahaman Wahab
PEERJ COMPUTER SCIENCE, 2023, 9
[30] Implementing an Arabic Question Answering System Using Conceptual Graphs
Bakari, Wided
Ben Sghaier, Mabrouka
Neji, Mahmoud
HYBRID INTELLIGENT SYSTEMS, HIS 2021, 2022, 420 : 295 - 304

← 1 2 3 4 5 →