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Argumentation Mining: Exploiting Multiple Sources and Background Knowledge - 2018

Argumentation Mining: Exploiting Multiple Sources And Background Knowledge

Research Paper on Argumentation Mining: Exploiting Multiple Sources And Background Knowledge

Research Area:  Machine Learning

Abstract:

The field of Argumentation Mining has arisen from the need of determining the underlying causes from an expressed opinion and the urgency to develop the established fields of Opinion Mining and Sentiment Analysis. The recent progress in the wider field of Artificial Intelligence in combination with the available data through Social Web has create great potential for every sub-field of Natural Language Process including Argumentation Mining.

Keywords:  
Argumentation Mining
Artificial Intelligence
Opinion Mining
Sentiment Analysis
Machine Learning
Deep Learning

Author(s) Name:  Anastasios Lytos, Thomas Lagkas, Panagiotis Sarigiannidis, Kalina Bontcheva

Journal name:  Computer Science

Conferrence name:  

Publisher name:  arXiv:1809.06943

DOI:  10.48550/arXiv.1809.06943

Volume Information: