Irony detection for Dutch : a venture into the implicit
- Author
- Aaron Maladry (UGent) , Els Lefever (UGent) , Cynthia Van Hee (UGent) and Veronique Hoste (UGent)
- Organization
- Abstract
- This paper presents the results of a replication experiment for automatic irony detection in Dutch social media text, investigating both a feature-based SVM classifier, as was done by Van Hee et al. (2017) and a transformer-based approach. In addition to building a baseline model, an important goal of this research is to explore the implementation of commonsense knowledge in the form of implicit sentiment, as we strongly believe that commonsense and connotative knowledge are essential to the identification of irony and implicit meaning in tweets. We show promising results and how the presented approach can provide a solid baseline and serve as a staging ground to build on in future experiments for irony detection in Dutch.
- Keywords
- LT3
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8753092
- MLA
- Maladry, Aaron, et al. “Irony Detection for Dutch : A Venture into the Implicit.” Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, edited by Jeremy Barnes et al., Association for Computational Linguistics (ACL), 2022, pp. 172–81, doi:10.18653/v1/2022.wassa-1.16.
- APA
- Maladry, A., Lefever, E., Van Hee, C., & Hoste, V. (2022). Irony detection for Dutch : a venture into the implicit. In J. Barnes, O. De Clercq, V. Barriere, S. Tafreshi, S. Alqahtani, J. Sedoc, … A. Balahur (Eds.), Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (pp. 172–181). https://doi.org/10.18653/v1/2022.wassa-1.16
- Chicago author-date
- Maladry, Aaron, Els Lefever, Cynthia Van Hee, and Veronique Hoste. 2022. “Irony Detection for Dutch : A Venture into the Implicit.” In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, edited by Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, and Alexandra Balahur, 172–81. Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.wassa-1.16.
- Chicago author-date (all authors)
- Maladry, Aaron, Els Lefever, Cynthia Van Hee, and Veronique Hoste. 2022. “Irony Detection for Dutch : A Venture into the Implicit.” In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, ed by. Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, and Alexandra Balahur, 172–181. Association for Computational Linguistics (ACL). doi:10.18653/v1/2022.wassa-1.16.
- Vancouver
- 1.Maladry A, Lefever E, Van Hee C, Hoste V. Irony detection for Dutch : a venture into the implicit. In: Barnes J, De Clercq O, Barriere V, Tafreshi S, Alqahtani S, Sedoc J, et al., editors. Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis. Association for Computational Linguistics (ACL); 2022. p. 172–81.
- IEEE
- [1]A. Maladry, E. Lefever, C. Van Hee, and V. Hoste, “Irony detection for Dutch : a venture into the implicit,” in Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, Dublin, Ireland, 2022, pp. 172–181.
@inproceedings{8753092,
abstract = {{This paper presents the results of a replication experiment for automatic irony detection in Dutch social media text, investigating both a feature-based SVM classifier, as was done by Van Hee et al. (2017) and a transformer-based approach. In addition to building a baseline model, an important goal of this research is to explore the implementation of commonsense knowledge in the form of implicit sentiment, as we strongly believe that commonsense and connotative knowledge are essential to the identification of irony and implicit meaning in tweets. We show promising results and how the presented approach can provide a solid baseline and serve as a staging ground to build on in future experiments for irony detection in Dutch.}},
author = {{Maladry, Aaron and Lefever, Els and Van Hee, Cynthia and Hoste, Veronique}},
booktitle = {{Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis}},
editor = {{Barnes, Jeremy and De Clercq, Orphée and Barriere, Valentin and Tafreshi, Shabnam and Alqahtani, Sawsan and Sedoc, João and Klinger, Roman and Balahur, Alexandra}},
isbn = {{9781955917520}},
keywords = {{LT3}},
language = {{eng}},
location = {{Dublin, Ireland}},
pages = {{172--181}},
publisher = {{Association for Computational Linguistics (ACL)}},
title = {{Irony detection for Dutch : a venture into the implicit}},
url = {{http://doi.org/10.18653/v1/2022.wassa-1.16}},
year = {{2022}},
}
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