Argumentation Mining in Spoken Georgian Political Language

lightning talk
Authorship
  1. 1. Mariam Matiashvili

    Ivane Javakhishvili Tbilisi State University

Work text
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The research concerns argumentation mining, specifically issues related to its theoretical framework and computational modeling. The research goals are: (a) A linguistic analysis of argumentative structures in spoken Georgian political language. (b) The study of argumentation mining in spoken language and the elaboration of a Database Processing/Preparation System using those results. The research data comes from the Georgian Political Spoken Language Corpora. Currently, the research is at the stage of lexical analysis of the text, that is, attempting to answer the question of what kind of lexicon is used in Georgian Spoken Argumentation Language. Finally, I aim to create an Annotation Scheme that can be a base for (a) the Arguing Corpora (b) a Labeled Database for Machine Learning training that aims at Argumentation Mining.

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Conference Info

In review

ADHO - 2020
"carrefours / intersections"

Hosted at Carleton University, Université d'Ottawa (University of Ottawa)

Ottawa, Ontario, Canada

July 20, 2020 - July 25, 2020

475 works by 1078 authors indexed

Conference cancelled due to coronavirus. Online conference held at https://hcommons.org/groups/dh2020/. Data for this conference were initially prepared and cleaned by May Ning.

Conference website: https://dh2020.adho.org/

References: https://dh2020.adho.org/abstracts/

Series: ADHO (15)

Organizers: ADHO

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