Argumentation Mining: Exploiting Multiple Sources and Background Knowledge
This work aims to enhance Opinion Mining and Sentiment Analysis by improving argument detection, though it appears incremental as it builds on existing fields without specifying novel breakthroughs.
The paper addresses the need to identify underlying causes in expressed opinions by advancing Argumentation Mining through the integration of multiple sources and background knowledge, leveraging recent AI progress and social web data.
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.