Sarcasm detection with BERT

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Show simple item record Scola, Elsa Segura-Bedmar, Isabel 2022-06-24T08:28:40Z 2022-06-24T08:28:40Z 2021-09-23
dc.identifier.bibliographicCitation Scola, E., Segura-Bedmar, I. (2021). Sarcasm detection with BERT. Procesamiento del Lenguaje Natura, 67, pp. 13-25.
dc.identifier.issn 1135-5948
dc.description.abstract Sarcasm is often used to humorously criticize something or hurt someone's feelings. Humans often have difficulty in recognizing sarcastic comments since we say the opposite of what we really mean. Thus, automatic sarcasm detection in textual data is one of the most challenging tasks in Natural Language Processing (NLP). It has also become a relevant research area due to its importance in the improvement of sentiment analysis. In this work, we explore several deep learning models such as Bidirectional Long Short-Term Memory (BiLSTM) and Bidirectional Encoder Representations from Transformers (BERT) to address the task of sarcasm detection. While most research has been conducted using social media data, we evaluate our models using a news headlines dataset. To the best of our knowledge, this is the first study that applies BERT to detect sarcasm in texts that do not come from social media. Experiment results show that the BERT-based approach overcomes the state-of-the-art on this type of dataset.
dc.description.sponsorship This work has been supported by the Madrid Government (Comunidad de Madrid) under the Multiannual Agreement with UC3M in the line of “Fostering Young Doctors Research”(NLP4RARE-CM-UC3M), as well as in the line of “Excellence of University Professors”(EPUC3M17), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation).
dc.language.iso eng
dc.publisher Sociedad Española para el Procesamiento del Lenguaje Natural
dc.rights © 2021 Sociedad Española para el Procesamiento del Lenguaje Natural
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.subject.other sarcasm detection
dc.subject.other deep learning
dc.subject.other bilstm
dc.subject.other BERT
dc.title Sarcasm detection with BERT
dc.type article
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. NLP4Rare-CM-UC3M
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 13
dc.identifier.publicationissue 67
dc.identifier.publicationlastpage 25
dc.identifier.publicationtitle Procesamiento de Lenguaje Natural
dc.identifier.uxxi AR/0000030878
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder Universidad Carlos III de Madrid
dc.affiliation.dpto UC3M. Departamento de Informática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Human Language and Accessibility Technologies (HULAT)
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