What works and what does not : Classifier and feature analysis for argument mining
In: Proceedings of the 4th Workshop on Argument Mining - EMNLP 2017, September 8, 2017, Copenhagen, Denmark - Stroudsburg: Association for Computational Linguistics (ACL), 2017, pp. 91 - 96
2017book article/chapter in Proceedings
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science » Computer Science » Information EngineeringFaculty of Engineering » Computer Science and Applied Cognitive Science » Computer Science » Interactive Systems
Title in English:
What works and what does not : Classifier and feature analysis for argument mining
Author:
Aker, AhmetUDE
- LSF ID
- 58690
- SCOPUS
- 36052381900
- Other
- connected with university
- LSF ID
- 60233
- SCOPUS
- 57205408983
- Other
- connected with university
- LSF ID
- 61112
- ORCID
-
0000-0002-9517-8797
- SCOPUS
- 57205401366
- Other
- connected with university
- SCOPUS
- 57205409017
- SCOPUS
- 57205408551
- SCOPUS
- 57205404083
- SCOPUS
- 57377123800
Scopus ID
Language of text:
English