Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain
Arslan, Yusuf; Allix, Kevin; Veiber, Lisa et al.
2021In Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia
Peer reviewed
 

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Keywords :
Financial Text Classification
Disciplines :
Computer science
Author, co-author :
Arslan, Yusuf ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Allix, Kevin ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Veiber, Lisa ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Lothritz, Cedric  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Bissyande, Tegawendé François D Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Klein, Jacques ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Goujon, Anne;  BGL BNP Paribas
External co-authors :
no
Language :
English
Title :
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain
Publication date :
19 April 2021
Event name :
The 1st Workshop on Financial Technology on the Web (FinWeb) with FinSim-2 and FinSBD-3 Shared Task
Event date :
from 19-04-2021 to 23-04-2021
Main work title :
Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia
Publisher :
Association for Computing Machinery, New York, United States
ISBN/EAN :
9781450383134
Pages :
260–268
Peer reviewed :
Peer reviewed
Focus Area :
Finance
FnR Project :
FNR13778825 - Explainable Machine Learning In Fintech, 2019 (01/07/2019-30/06/2022) - Jacques Klein
Available on ORBilu :
since 27 May 2021

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