20 citations · 27 across the 9 of their papers we have counts for
5 papers · 1 filter
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
Paloma Piot, Javier Parapar
Automatic detection of hate and abusive language is essential to combat its online spread. Moreover, recognising and explaining hate speech serves to educate people about its negat…
Beyond Questions: Leveraging ColBERT for Keyphrase Search
Jorge Gabín, Javier Parapar, Craig Macdonald
While question-like queries are gaining popularity and search engines' users increasingly adopt them, keyphrase search has traditionally been the cornerstone of web search. This qu…
Decoding Hate: Exploring Language Models' Reactions to Hate Speech
Paloma Piot, Javier Parapar
Hate speech is a harmful form of online expression, often manifesting as derogatory posts. It is a significant risk in digital environments. With the rise of Large Language Models…
Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering
Jorge Gabín, M. Eduardo Ares, Javier Parapar
Automatic keyphrase labelling stands for the ability of models to retrieve words or short phrases that adequately describe documents' content. Previous work has put much effort int…
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
Hate speech represents a pervasive and detrimental form of online discourse, often manifested through an array of slurs, from hateful tweets to defamatory posts. As such speech pro…