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Related Papers
Clickbait Spoiling via Question Answering and Passage Retrieval
AbstractWe introduce and study the task of clickbait spoiling: generating a short text that satisfies the curiosity induced by a clickbait post. Clickbait links to a web page and advertises …...
Brooke-English at SemEval-2023 Task 5: Clickbait Spoiling
AbstractThe task of clickbait spoiling is: generating a short text that satisfies the curiosity induced by a clickbait post. Clickbait links to a web page and advertises its contents by …...
Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models
AbstractThis 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, …...
John Boy Walton at SemEval-2023 Task 5: An Ensemble Approach to Spoiler Classification and Retrieval for Clickbait Spoiling
AbstractClickbait spoiling is a task of generating or retrieving a fairly short text with a purpose to satisfy curiosity of a content consumer without their addressing to the document linked …...
Matt Bai at SemEval-2023 Task 5: Clickbait spoiler classification via BERT
AbstractThe Clickbait Spoiling shared task aims at tackling two aspects of spoiling: classifying the spoiler type based on its length and generating the spoiler. This paper focuses on the task …...
Mr-wallace at SemEval-2023 Task 5: Novel Clickbait Spoiling Algorithm Using Natural Language Processing
AbstractThis paper presents a model for clickbait spoiling,which aims at generating short texts that satisfy thecuriosity induced by a clickbait post. The modelis split into two tasks: identifying the clickbaittype …...
nancy-hicks-gribble at SemEval-2023 Task 5: Classifying and generating clickbait spoilers with RoBERTa
AbstractClickbait spoiling and spoiler type classification in the setting of the SemEval2023 shared task five was used to explore transformer based text classification in comparison to conventional, shallow learned classifying …...