Location

University of Windsor

Document Type

Paper

Keywords

argumentation, argument ontology, collective intelligence, computational tools for argument support, computer supported argument visualization, disagreement space, epistemic capabilities, natural language processing, sentiment identification

Start Date

22-5-2013 9:00 AM

End Date

25-5-2013 5:00 PM

Abstract

Natural language processing (NLP) research and design that aims to model and detect opposition in text for the purpose of opinion classification, sentiment analysis, and meeting tracking, generally excludes the interactional, pragmatic aspects of online text. We propose that a promising direction for NLP is to incorporate the insights of pragmatic, dialectical theories of argumentation to more fully exploit the potential of NLP to offer sound, robust systems for various kinds of argumentation support.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Included in

Philosophy Commons

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May 22nd, 9:00 AM May 25th, 5:00 PM

Integrating natural language processing and pragmatic argumentation theories for argumentation support

University of Windsor

Natural language processing (NLP) research and design that aims to model and detect opposition in text for the purpose of opinion classification, sentiment analysis, and meeting tracking, generally excludes the interactional, pragmatic aspects of online text. We propose that a promising direction for NLP is to incorporate the insights of pragmatic, dialectical theories of argumentation to more fully exploit the potential of NLP to offer sound, robust systems for various kinds of argumentation support.