Reference : A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in th...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Finance
	To cite this reference:	http://hdl.handle.net/10993/47288

Title :	A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain
Language :	English
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]
Publication date :	19-Apr-2021
Main document title :	Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia
Publisher :	Association for Computing Machinery
Pages :	260–268
Peer reviewed :	Yes
ISBN :	9781450383134
City :	New York
Country :	United States
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
Keywords :	[en] Financial Text Classification
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/47288
DOI :	10.1145/3442442.3451375
Other URL :	https://dl.acm.org/doi/pdf/10.1145/3442442.3451375
FnR project :	FnR ; FNR13778825 > Jacques Klein > ExLiFT > Explainable Machine Learning In Fintech > 01/07/2019 > 30/06/2022 > 2019

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