Vrain at IroSvA 2019: Exploring classical and transfer learning approaches to short message irony detection

Javier Iranzo-Sánchez (Lead / Corresponding author), Ramon Ruiz-Dolz (Lead / Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)
3 Downloads (Pure)

Abstract

This paper describes VRAIN’s participation at IroSvA 2019: Irony Detection in Spanish Variants task of the Iberian Languagues Evaluation Forum (IberLEF 2019). We describe the entire pre-processing, feature extraction, model selection and hyperparameter optimization carried out for our submissions to the shared task. A central part of our work is to provide an in-depth comparison of the performance of different classical Machine learning techniques, as well as some recent transfer learning proposals for Natural Language Processing (NLP) classification problems.

Original languageEnglish
Title of host publicationProceedings of the Iberian Languages Evaluation Forum (IberLEF 2019)
Subtitle of host publicationco-located with 35th Conference of the Spanish Society for Natural Language Processing (SEPLN 2019)
EditorsMiguel Ángel García Cumbreras , Julio Gonzalo, Eugenio Martínez Cámara, Raquel Martínez Unanue, Paolo Rosso, Jorge Carrillo-de-Albornoz, Soto Montalvo, Luis Chiruzzo, Sandra Collovini, Yoan Guitiérrez, Salud Jiménez Zafra, Martin Krallinger, Manuel Montes-y-Gómez, Reynier Ortega-Bueno, Aiala Rosá
PublisherCEUR-WS
Pages322-328
Number of pages7
Volume2421
Publication statusPublished - 24 Sept 2019
Event2019 Iberian Languages Evaluation Forum, IberLEF 2019 - Bilbao, Spain
Duration: 24 Sept 201924 Sept 2019
https://sites.google.com/view/iberlef-2019/

Conference

Conference2019 Iberian Languages Evaluation Forum, IberLEF 2019
Country/TerritorySpain
CityBilbao
Period24/09/1924/09/19
Internet address

Keywords

  • Irony detection
  • Natural language processing
  • Transfer learning

ASJC Scopus subject areas

  • General Computer Science

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