Using argumentation strategies in automated argument generation

Ingrid Zukerman, Richard McConachy, Kevin B Korb

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    30 Citations (Scopus)

    Abstract

    During argumentation, people persuade their audience using a variety of strategies, e.g., hypothetical reasoning, reasoning by cases and ordinary premise-to-goal arguments. In this paper, we offer an operational definition of the conditions for pursuing these strategies, and incorporate into a Bayesian argument-generation system a mechanism for proposing applicable argumentation strategies, generating specific arguments based on these strategies, and selecting a final argument.

    Original languageEnglish
    Title of host publicationProceedings of the First International Conference on Natural Language Generation (INLG'2000)
    EditorsMichael Elhadad
    Place of PublicationNew Jersey USA
    PublisherAssociation for Computational Linguistics (ACL)
    Pages55-62
    Number of pages8
    ISBN (Electronic)9659029608, 9789659029600
    ISBN (Print)9659029608
    Publication statusPublished - 2000
    EventInternational Natural Language Generation Conference 2000 - Mitzpe Ramon, Israel
    Duration: 12 Jun 200016 Jun 2000
    Conference number: 1st
    https://aclanthology.org/volumes/W00-14/ (Proceedings)

    Conference

    ConferenceInternational Natural Language Generation Conference 2000
    Abbreviated titleINLG 2000
    Country/TerritoryIsrael
    CityMitzpe Ramon
    Period12/06/0016/06/00
    Internet address

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