Citation

BibTex format

@inbook{Cocarascu:2020:10.1007/978-3-030-28367-4_17,
author = {Cocarascu, O and Toni, F},
booktitle = {Argumentation Library},
doi = {10.1007/978-3-030-28367-4_17},
pages = {269--285},
title = {Deploying Machine Learning Classifiers for Argumentative Relations “in the Wild”},
url = {http://dx.doi.org/10.1007/978-3-030-28367-4_17},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - CHAP
AB  - Argument Mining (AM) aims at automatically identifying arguments and components of arguments in text, as well as at determining the relations between these arguments, on various annotated corpora using machine learning techniques (Lippi & Torroni, 2016).
AU  - Cocarascu,O
AU  - Toni,F
DO  - 10.1007/978-3-030-28367-4_17
EP  - 285
PY  - 2020///
SP  - 269
TI  - Deploying Machine Learning Classifiers for Argumentative Relations “in the Wild”
T1  - Argumentation Library
UR  - http://dx.doi.org/10.1007/978-3-030-28367-4_17
ER  -
Download

Contact the group