Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models

Tugay Bilgis, Nimet Beyza Bozdag, Steven Bethard

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

1 Scopus citations

Abstract

This paper presents the systems and approaches of the Gallagher team for the SemEval-2023 Task 5: Clickbait Spoiling. We propose a method to classify the type of spoiler (phrase, passage, multi) and a question-answering method to generate spoilers that satisfy the curiosity caused by clickbait posts. We experiment with the state-of-the-art Seq2Seq model T5. To identify the spoiler types we used a fine-tuned T5 classifier (Subtask 1). A mixture of T5 and Flan-T5 was used to generate the spoilers for clickbait posts (Subtask 2). Our system officially ranks first in generating phrase type spoilers in Subtask 2, and achieves the highest precision score for passage type spoilers in Subtask 1.

Original languageEnglish (US)
Title of host publication17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop
EditorsAtul Kr. Ojha, A. Seza Dogruoz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
PublisherAssociation for Computational Linguistics
Pages1650-1655
Number of pages6
ISBN (Electronic)9781959429999
StatePublished - 2023
Event17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 - Hybrid, Toronto, Canada
Duration: Jul 13 2023Jul 14 2023

Publication series

Name17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop

Conference

Conference17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
Country/TerritoryCanada
CityHybrid, Toronto
Period7/13/237/14/23

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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