The role of saliency in generating natural language arguments

被引:0
|
作者
Reed, C [1 ]
机构
[1] Univ Dundee, Dept Appl Comp, Dundee DD1 4HN, Scotland
来源
IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 2 | 1999年
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
Generating expressions which communicate information already known to the hearer, building enthymematic arguments, and characterising refutations all pose significant problems to traditional natural language generation techniques. After exploring these problems, an approach is proposed which through its employment of a notion of saliency handles them cleanly, and offers support for further features including clue word generation. It is argued that propositional salience and its interaction with intentional, attentional, epistemic and structural components of a text generation system have a key role to play in the design and realisation of persuasive text.
引用
收藏
页码:876 / 881
页数:6
相关论文
共 50 条
  • [1] Generating Abstract Arguments: a Natural Language Approach
    Cabrio, Elena
    Villata, Serena
    COMPUTATIONAL MODELS OF ARGUMENT, 2012, 245 : 454 - 461
  • [2] Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
    Ren, Shuhuai
    Deng, Yihe
    He, Kun
    Che, Wanxiang
    57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019), 2019, : 1085 - 1097
  • [3] NoDE: A Benchmark of Natural Language Arguments
    Cabrio, Elena
    Villata, Serena
    COMPUTATIONAL MODELS OF ARGUMENT, 2014, 266 : 449 - 450
  • [4] Natural Language Arguments: A Combined Approach
    Cabrio, Elena
    Villata, Serena
    20TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2012), 2012, 242 : 205 - +
  • [5] Saliency and the attentional state in natural language generation
    Reed, C
    ECAI 2002: 15TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2002, 77 : 440 - 444
  • [6] Processing natural language arguments with the <TextCoop> platform
    Saint-Dizier, Patrick
    ARGUMENT & COMPUTATION, 2012, 3 (01) : 49 - 82
  • [7] A Methodology for Generating Natural Language Paraphrases
    Perikos, Isidoros
    Hatzilygeroudis, Ioannis
    2016 7TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS & APPLICATIONS (IISA), 2016,
  • [8] Generating Realistic Natural Language Counterfactuals
    Robeer, Marcel
    Bex, Floris
    Feelders, Ad
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2021, 2021, : 3611 - 3625
  • [9] Generating Customizable Natural Language Descriptions
    Costa, A.
    Paraboni, I
    IEEE LATIN AMERICA TRANSACTIONS, 2019, 17 (08) : 1252 - 1258
  • [10] Generating Natural Language Adversarial Examples
    Alzantot, Moustafa
    Sharma, Yash
    Elgohary, Ahmed
    Ho, Bo-Jhang
    Srivastava, Mani B.
    Chang, Kai-Wei
    2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2018), 2018, : 2890 - 2896