Imperial College London
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ProfessorFrancescaToni

Faculty of Engineering, Department of Computing

Professor in Computational Logic
 
 
 
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Contact

 

+44 (0)20 7594 8228f.toni Website

 
 
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Location

 

430Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

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}
}
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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  -
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