TY  - JOUR
A1  - Stede, Manfred
T1  - Automatic argumentation mining and the role of stance and sentiment
JF  - Journal of argumentation in context
N2  - Argumentation mining is a subfield of Computational Linguistics that aims (primarily) at automatically finding arguments and their structural components in natural language text. We provide a short introduction to this field, intended for an audience with a limited computational background. After explaining the subtasks involved in this problem of deriving the structure of arguments, we describe two other applications that are popular in computational linguistics: sentiment analysis and stance detection. From the linguistic viewpoint, they concern the semantics of evaluation in language. In the final part of the paper, we briefly examine the roles that these two tasks play in argumentation mining, both in current practice, and in possible future systems.
KW  - argumentation structure
KW  - argumentation mining
KW  - sentiment analysis
KW  - stance detection
Y1  - 2020
U6  - https://doi.org/10.1075/jaic.00006.ste
SN  - 2211-4742
SN  - 2211-4750
VL  - 9
IS  - 1
SP  - 19
EP  - 41
PB  - John Benjamins Publishing Co.
CY  - Amsterdam
ER  -