Question-Answering System in the TIL-Script Language

被引:1
|
作者
Duzi, Marie [1 ]
Fait, Michal [1 ]
机构
[1] VSB Tech Univ Ostrava, Dept Comp Sci FEI, 17 Listopadu 15, Ostrava 70833, Czech Republic
关键词
Natural-language processing; lambda calculus; intension; Transparent Intensional Logic; TIL; question-answer system; NATURAL-LANGUAGE; BETA-CONVERSION; LOGIC;
D O I
10.3233/FAIA200034
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The goal of this paper is to introduce the design of a question-answering system that makes it possible to retrieve answers to questions like "Is Tom a student?", or "Who is the Miss World 2019?" from the large corpora of natural language texts. These texts are formalized automatically into the form of TIL constructions encoded in the TIL-Script language. TIL-Script is a computational variant of Pavel Tichy's Transparent Intensional Logic (TIL). TIL is a hyperintensional, typed lambda calculus of partial functions. Hyperintensional, because the TIL terms are interpreted as denoting procedures rather than their products, which are partial functions-in-extension. These procedures are rigorously defined as TIL constructions. Since TIL is a logic of partial functions, in particular propositions with a truth-value gap, it is apt for dealing with questions that come attached with presuppositions. If a presupposition of a question is not true, there is no direct answer to such a question. We introduce basic classification of questions and answers, propose their TIL analysis and the way of evaluation, which then serve as a specification for implementation of the system.
引用
收藏
页码:501 / 518
页数:18
相关论文
共 50 条
  • [21] Conceptual Framework for the Conversion of Text Document into TIL-Script
    Ćíhalová M.
    Menšík M.
    [J]. Frontiers in Artificial Intelligence and Applications, 2021, 343 : 177 - 187
  • [22] Question-Answering System Design in Teaching and Learning, Based on Natural Language Processing
    Wang Ming
    Yuan Dachao
    [J]. PROCEEDINGS OF THE FOURTH NORTHEAST ASIA INTERNATIONAL SYMPOSIUM ON LANGUAGE, LITERATURE AND TRANSLATION, 2015, 2015, : 132 - 137
  • [23] Semantic computation in a Chinese Question-Answering system
    Sujian Li
    Jian Zhang
    Xiong Huang
    Shuo Bai
    Qun Liu
    [J]. Journal of Computer Science and Technology, 2002, 17 : 933 - 939
  • [24] Designing A Question-Answering System for Comic Contents
    Moriyama, Yukihiro
    Park, Byeongseon
    Iwaoki, Shinnosuke
    Matsushita, Mitsunori
    [J]. PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON COMICS ANALYSIS, PROCESSING AND UNDERSTANDING (MANPU 2016), 2016,
  • [25] An Arabic Question-Answering system for factoid questions
    Brini, Wissal
    Ellouze, Mariem
    Mesfar, Slim
    Belguith, Lamia Hadrich
    [J]. IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 2009, : 417 - +
  • [26] Question-answering dialogue system for emergency operations
    Chan, Hao-Yung
    Tsai, Meng-Han
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2019, 41
  • [27] Question-Answering and Recommendation System on Cooking Recipes
    Manna, Riyanka
    Das, Dipankar
    Gelbukh, Alexander
    [J]. COMPUTACION Y SISTEMAS, 2021, 25 (01): : 223 - 235
  • [28] The Design of Mobile Multimedia Question-Answering System
    Li, Jian-wei
    [J]. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014), 2014, : 546 - 551
  • [29] Answer type validation in a question-answering system
    Grappy, Arnaud
    Grau, Brigitte
    [J]. CORIA 2010: Actes de la COnference en Recherche d'Information et Applications - Proceedings of the Conference on Information Retrieval and Applications, 2010, : 131 - 146
  • [30] Semantic computation in a Chinese question-answering system
    Li, SJ
    Zhang, J
    Huang, X
    Bai, S
    Liu, Q
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2002, 17 (06) : 933 - 939