Logo Oapen
  • Join
    • Deposit
    • For Librarians
    • For Publishers
    • For Researchers
    • Funders
    • Resources
    • OAPEN
        View Item 
        •   OAPEN Home
        • View Item
        •   OAPEN Home
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Robust Argumentation Machines

        First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings

        Thumbnail
        Download PDF Viewer
        Web Shop
        Contributor(s)
        Cimiano, Philipp (editor)
        Frank, Anette (editor)
        Kohlhase, Michael (editor)
        Stein, Benno (editor)
        Collection
        DFG - German Research Foundation
        Language
        English
        Show full item record
        Abstract
        This open access book constitutes the proceedings of the First International Conference on Robust Argumentation Machines, RATIO 2024, which took place in Bielefeld, Germany, during June 5-7, 2024. The 20 full papers and 1 short paper included in the proceedings were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: Argument Mining; Debate Analysis and Deliberation; Argument Acquisition, Annotation and Quality Assessment; Computational Models of Argumentation; Interactive Argumentation, Recommendation and Personalization; and Argument Search and Retrieval.
        URI
        https://library.oapen.org/handle/20.500.12657/92695
        Keywords
        argument mining; computational agrumentation; deliberation support; argument search and retrieval; human computer interaction; natural language processing; knowledge representation; artificial intelligence
        DOI
        10.1007/978-3-031-63536-6
        ISBN
        9783031635366, 9783031635366, 9783031635359
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2024
        Grantor
        • Deutsche Forschungsgemeinschaft - [...]
        Imprint
        Springer Nature Switzerland
        Series
        Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence, 14638
        Classification
        Artificial intelligence
        Mathematical theory of computation
        Mathematical logic
        Mathematical foundations
        Software Engineering
        Pages
        372
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

        Browse

        All of OAPENSubjectsPublishersLanguagesCollections

        My Account

        LoginRegister

        Export

        Repository metadata
        Logo Oapen
        • For Librarians
        • For Publishers
        • For Researchers
        • Funders
        • Resources
        • OAPEN

        Newsletter

        • Subscribe to our newsletter
        • view our news archive

        Follow us on

        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

        OAPEN is based in the Netherlands, with its registered office in the National Library in The Hague.

        Director: Niels Stern

        Address:
        OAPEN Foundation
        Prins Willem-Alexanderhof 5
        2595 BE The Hague
        Postal address:
        OAPEN Foundation
        P.O. Box 90407
        2509 LK The Hague

        Websites:
        OAPEN Home: www.oapen.org
        OAPEN Library: library.oapen.org
        DOAB: www.doabooks.org

         

         

        Export search results

        The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

        A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

        To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

        After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.