The automatic detection of figurative language, such as irony and sarcasm, is one of the most challenging tasks of Natural Language Processing (NLP). In this paper, we investigate the generalization capabilities of figurative language detection models, focusing on the case of irony and sarcasm. Firstly, we compare the most promising approaches of the state of the art. Then, we propose three different methods for reducing the generalization errors on both in- and out-domain scenarios.

Famiglini, L., Fersini, E., Rosso, P. (2021). On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm. In Natural Language Processing and Information Systems 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings (pp.178-186). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-80599-9_16].

On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm

Famiglini L.;Fersini E.
;
2021

Abstract

The automatic detection of figurative language, such as irony and sarcasm, is one of the most challenging tasks of Natural Language Processing (NLP). In this paper, we investigate the generalization capabilities of figurative language detection models, focusing on the case of irony and sarcasm. Firstly, we compare the most promising approaches of the state of the art. Then, we propose three different methods for reducing the generalization errors on both in- and out-domain scenarios.
paper
Generalization capabilities; Irony and sarcasm detection;
English
26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021 - 23 June 2021through 25 June 2021
2021
Natural Language Processing and Information Systems 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings
978-3-030-80598-2
2021
12801
178
186
none
Famiglini, L., Fersini, E., Rosso, P. (2021). On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm. In Natural Language Processing and Information Systems 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings (pp.178-186). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-80599-9_16].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/395780
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
Social impact