BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138642" target="_blank" >RIV/00216305:26230/20:PU138642 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.semeval-1.53/" target="_blank" >https://www.aclweb.org/anthology/2020.semeval-1.53/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models
Original language description
This paper describes BUT-FITs submission at SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. The challenge focused on detecting whether a given statement contains a counterfactual (Subtask 1) and extracting both antecedent and consequent parts of the counterfactual from the text (Subtask 2). We experimented with various state-of-the-art language representation models (LRMs). We found RoBERTa LRM to perform the best in both subtasks. We achieved the first place in both exact match and F1 for Subtask 2 and ranked second for Subtask 1.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTC18006" target="_blank" >LTC18006: Large-Scale Information Extraction and Gamification for Crowdsourced Language Learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fourteenth Workshop on Semantic Evaluation
ISBN
978-1-952148-31-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
437-444
Publisher name
Association for Computational Linguistics
Place of publication
Barcelona (online)
Event location
Barcelona (online)
Event date
Dec 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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