A knowledge based strategy for recognising textual entailment

被引:0
作者
Ferrandez, Oscar [1 ]
Terol, Rafael M. [1 ]
Munoz, Rafael [1 ]
Martinez-Barco, Patricio [1 ]
Palomar, Manuel [1 ]
机构
[1] Univ Alicante, Nat Language Proc & Informat Syst Grp, Dept Software & Comp Syst, E-03080 Alicante, Spain
来源
TEXT, SPEECH AND DIALOGUE, PROCEEDINGS | 2006年 / 4188卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a knowledge based textual entailment approach comprising two stages. The first stage consists of inferring the logic forms for both the text and the hypothesis. The logic forms are obtained by analysing the dependency relations between words. The second stage carries out a comparison between the inferred logic forms by means of WordNet relations. This comparison aims at establishing the existence of an entailment relation. This approach has been evaluated within the PASCAL Second RTE Challenge and achieved 60% average precision.
引用
收藏
页码:53 / 60
页数:8
相关论文
共 50 条
  • [21] Textual Entailment by Generality
    Pais, Sebastiao
    Dias, Gael
    Wegrzyn-Wolska, Katarzyna
    Mahl, Robert
    Jouvelot, Pierre
    COMPUTATIONAL LINGUISTICS AND RELATED FIELDS, 2011, 27 : 258 - 266
  • [22] A study on textual entailment
    Rus, V
    Graesser, A
    McCarthy, PM
    Lin, KI
    ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 326 - 333
  • [23] Defining Textual Entailment
    Korman, Daniel Z.
    Mack, Eric
    Jett, Jacob
    Renear, Allen H.
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2018, 69 (06) : 763 - 772
  • [24] Textual entailment graphs
    Kotlerman, Lili
    Dagan, Ido
    Magnini, Bernardo
    Bentivogli, Luisa
    NATURAL LANGUAGE ENGINEERING, 2015, 21 (05) : 699 - 724
  • [25] Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
    Kapanipathi, Pavan
    Thost, Veronika
    Patel, Siva Sankalp
    Whitehead, Spencer
    Abdelaziz, Ibrahim
    Balakrishnan, Avinash
    Chang, Maria
    Fadnis, Kshitij
    Gunasekara, Chulaka
    Makni, Bassem
    Mattei, Nicholas
    Talamadupula, Kartik
    Fokoue, Achille
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 8074 - 8081
  • [26] ADVENTURE: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
    Kang, Dongyeop
    Khot, Tushar
    Sabharwal, Ashish
    Hovy, Eduard
    PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1, 2018, : 2418 - 2428
  • [27] Textual entailment recognition based on dependency analysis and WordNet
    Herrera, Jesus
    Penas, Anselmo
    Verdejo, Felisa
    MACHINE LEARNING CHALLENGES: EVALUATING PREDICTIVE UNCERTAINTY VISUAL OBJECT CLASSIFICATION AND RECOGNIZING TEXTUAL ENTAILMENT, 2006, 3944 : 231 - 239
  • [28] A Statistics-Based Semantic Textual Entailment System
    Pakray, Partha
    Barman, Utsab
    Bandyopadhyay, Sivaji
    Gelbukh, Alexander
    ADVANCES IN ARTIFICIAL INTELLIGENCE, PT I, 2011, 7094 : 267 - +
  • [29] A Syntactic Textual Entailment System Based on Dependency Parser
    Pakray, Partha
    Gelbukh, Alexander
    Bandyopadhyay, Sivaji
    COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, 2010, 6008 : 269 - +
  • [30] Textual entailment recognition based on effective text features
    Du, Yongping
    Yao, Changqing
    Liu, Jiangli
    Journal of Convergence Information Technology, 2012, 7 (13) : 318 - 325