RAPPORT - A Portuguese Question-Answering System

被引:0
|
作者
Rodrigues, Ricardo [1 ,2 ]
Gomes, Paulo [1 ]
机构
[1] Univ Coimbra, Ctr Informat & Syst, Coimbra, Portugal
[2] Polytech Inst Coimbra, Coll Educ, Coimbra, Portugal
来源
关键词
Question answering; Triple extraction; Portuguese; TRACK; CLEF;
D O I
10.1007/978-3-319-23485-4_77
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a question answering system for Portuguese that depends on subject-predicate-object triples extracted from sentences in a corpus. It is supported by indices that store triples, related sentences and documents. The system processes the questions and retrieves answers based on the triples. For testing and evaluation purposes, we have used the CHAVE corpus, which has been used in multiple editions of CLEF. The questions from those editions were used to query and benchmark our system. In its current stage, the system has found the answer to 42% of the questions. This document describes the modules that compose the system and how they are combined, providing a brief analysis on them, and also some preliminary results, as well as some expectations regarding future work.
引用
收藏
页码:771 / 782
页数:12
相关论文
共 50 条
  • [1] Question-answering system
    Stupina, A. A.
    Zhukov, E. A.
    Ezhemanskaya, S. N.
    Karaseva, M. V.
    Korpacheva, L. N.
    [J]. XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN AERONAUTICS AND ASTRONAUTICS, 2016, 155
  • [2] Chinese question-answering system
    Gai-Tai Huang
    Hsiu-Hsen Yao
    [J]. Journal of Computer Science and Technology, 2004, 19
  • [3] Chinese question-answering system
    Huang, GT
    Yao, HH
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2004, 19 (04): : 479 - 488
  • [4] A question-answering system using argumentation
    Moreale, E
    Vargas-Vera, M
    [J]. MICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2004, 2972 : 400 - 409
  • [5] An analysis of the AskMSR question-answering system
    Brill, E
    Dumais, S
    Banko, N
    [J]. PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, 2002, : 257 - 264
  • [6] Wedding Dress Question-Answering System
    Liu, Yiwei
    Zhang, Yizhuo
    Wei, Yu-Chih
    Chen, Chi-Hua
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
  • [7] Disambiguation for Arabic Question-Answering System
    Dardour, Sondes
    Fehri, Hela
    Haddar, Kais
    [J]. FORMALIZING NATURAL LANGUAGES WITH NOOJ 2019 AND ITS NATURAL LANGUAGE PROCESSING APPLICATIONS, NOOJ 2019, 2020, 1153 : 101 - 111
  • [8] Question-answering system for combustion kinetics
    Pascazio, Laura
    Tran, Dan
    Rihm, Simon D.
    Bai, Jiaru
    Mosbach, Sebastian
    Akroyd, Jethro
    Kraft, Markus
    [J]. PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2024, 40 (1-4)
  • [9] Question-Answering System with Linguistic Summarization
    To, Nhuan D.
    Reformat, Marek Z.
    Yager, Ronald R.
    [J]. IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE), 2021,
  • [10] The Research and Design of Question-Answering System
    Song, Bo
    Zhuo, Yue
    [J]. FUZZY SYSTEMS AND DATA MINING III (FSDM 2017), 2017, 299 : 231 - 237