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1
GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTa
Abstract: CheckThat! Lab is a challenging lab aimed at tackling the disinformation problem. The GPLSI team from the University of Alicante (Spain) has participated in two tasks of the CheckThat! Lab namely, Task 1 (Check-Worthiness Estimation) and Task 3 (Fake News Detection). We attained second and fifth place in the Spanish-version and English-version of Subtask 1A. Our systems use models based on transfer learning such as RoBERTa and BETO. The best results were achieved by fine-tuning these models. However, our results for Subtask 3A are low compared to the team that achieved the best result. We included some external features in the models for Subtask 1A and 3A, but we could not improve the results. In future work, we will experiment by incorporating other external features into the models with the aim of improving the results of the tasks. ; This research work has been partially funded by Generalitat Valenciana through project “SIIA: Tecnologias del lenguaje humano para una sociedad inclusiva, igualitaria, y accesible” (PROMETEU/2018/089), by the Spanish Government through project “Modelang: Modeling the behaviour of digital entities by Human Language Technologies” (RTI2018-094653-B-C22), and project “INTEGER - Intelligent Text Generation” (RTI2018-094649-B-I00). Also, this paper is also based upon work from COST Action CA18231 “Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation”.
Keyword: Check-worthiness; Fake news detection; Lenguajes y Sistemas Informáticos; Transfer learning models
URL: http://hdl.handle.net/10045/117457
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2
Integrating Rules and Dictionaries from Shallow-Transfer Machine Translation into Phrase-Based Statistical Machine Translation
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3
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation
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4
A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora
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5
An open-source toolkit for integrating shallow-transfer rules into phrase-based statistical machine translation
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6
The Universitat d’Alacant hybrid machine translation system for WMT 2011
Sánchez-Cartagena, Víctor M.; Sánchez-Martínez, Felipe; Pérez-Ortiz, Juan Antonio. - : Association for Computational Linguistics, 2011
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7
Integrating shallow-transfer rules into phrase-based statistical machine translation
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8
Inferring shallow-transfer machine translation rules from small parallel corpora
Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : AI Access Foundation, 2008
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9
An open-source shallow-transfer machine translation toolbox: consequences of its release and availability
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10
An open-source shallow-transfer machine translation engine for the Romance languages of Spain
Corbí Bellot, Antonio Miguel; Forcada, Mikel L.; Ortiz Rojas, Sergio. - : European Association for Machine Translation, 2005
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