Syntactic Open Domain Arabic Question/Answering System for Factoid Questions

被引:0
|
作者
Fareed, Noha S. [1 ]
Mousa, Hamdy M. [1 ]
Elsisi, Ashraf B. [1 ]
机构
[1] Menoufia Univ, Fac Comp & Informat, Dept Comp Sci, Al Minufya, Egypt
关键词
Question/Answering; Factoid questions; Query Expansion; Arabic WordNet; JIRS; Khoja stemmer;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Information Retrieval systems have become a crucial part of any search engine, taking into consideration the increased number of pages and documents added to the World Wide Web every day. Question/Answering systems are specific to retrieve the most accurate answer among several documents; this paper will present an improved methodology and implementation of an open domain Arabic Question Answering System for factoid questions. The proposed system is based on Query Expansion ontology and an Arabic Stemmer. Basically the system mainly depends on AWN as a semantic Query Expansion and Khoja stemmer as a stemming system, to evaluate the system we used 56 translated CLEF and TREC questions, four types of test scenarios are performed. Four evaluation attributes were considered: Accuracy, Mean Reciprocal Rank, Answered Questions and recall; and encouraging results were reached with the proposed system.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] An Arabic Question-Answering system for factoid questions
    Brini, Wissal
    Ellouze, Mariem
    Mesfar, Slim
    Belguith, Lamia Hadrich
    IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 2009, : 417 - +
  • [2] Open-Domain Non-factoid Question Answering
    Khvalchik, Maria
    Kulkarni, Anagha
    TEXT, SPEECH, AND DIALOGUE, TSD 2017, 2017, 10415 : 290 - 298
  • [3] A Chinese Question Answering System for Single-Relation Factoid Questions
    Lai, Yuxuan
    Jia, Yanyan
    Lin, Yang
    Feng, Yansong
    Zhao, Dongyan
    NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2017, 2018, 10619 : 124 - 135
  • [4] QUESTION ANSWERING SYSTEM FOR FACTOID BASED QUESTION
    Ranjan, Prakash
    Balabantaray, Rakesh Chandra
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2016, : 221 - 224
  • [5] Open-Domain Factoid Question-Answering in Urdu: Data and Methods
    Shakeel, Muhammad
    Nawab, Rao Muhammad Adeel
    IEEE ACCESS, 2025, 13 : 30167 - 30185
  • [6] A Factoid Question Answering System for Vietnamese
    Phuong Le-Hong
    Duc-Thien Bui
    COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018), 2018, : 1049 - 1055
  • [7] Joint Question Clustering and Relevance Prediction for Open Domain Non-Factoid Question Answering
    Chaturvedi, Snigdha
    Castelli, Vittorio
    Florian, Radu
    Nallapati, Ramesh M.
    Raghavan, Hema
    WWW'14: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2014, : 503 - 513
  • [8] Building TALAA-AFAQ, a Corpus of Arabic FActoid Question-Answers for a Question Answering System
    Aouichat, Asma
    Guessoum, Ahmed
    NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2017, 2017, 10260 : 380 - 386
  • [9] Arabic factoid Question-Answering system for Islamic sciences using normalized corpora
    Maraoui, Hajer
    Haddar, Kais
    Romary, Laurent
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), 2021, 192 : 69 - 79
  • [10] Non-factoid Question Answering in the Legal Domain
    McElvain, Gayle
    Sanchez, George
    Teo, Don
    Custis, Tonya
    PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19), 2019, : 1395 - 1396