Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Parapar, Javier"'
Autor:
Piot, Paloma, Parapar, Javier
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 (LLMs), there is concern about their potential to replicate hate speec
Externí odkaz:
http://arxiv.org/abs/2410.00775
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 into exploring extractive techniques to address this task; however, these
Externí odkaz:
http://arxiv.org/abs/2409.16760
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 proliferates, it connects people globally and poses significant social, p
Externí odkaz:
http://arxiv.org/abs/2401.06526
The recent proliferation of Large Conversation Language Models has highlighted the economic significance of widespread access to this type of AI technologies in the current information age. Nevertheless, prevailing models have primarily been trained
Externí odkaz:
http://arxiv.org/abs/2311.03812
Users of social platforms often perceive these sites as supportive spaces to post about their mental health issues. Those conversations contain important traces about individuals' health risks. Recently, researchers have exploited this online informa
Externí odkaz:
http://arxiv.org/abs/2310.13664
Computational methods for depression detection aim to mine traces of depression from online publications posted by Internet users. However, solutions trained on existing collections exhibit limited generalisation and interpretability. To tackle these
Externí odkaz:
http://arxiv.org/abs/2308.10758
Publikováno v:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
Creating test collections for offline retrieval evaluation requires human effort to judge documents' relevance. This expensive activity motivated much work in developing methods for constructing benchmarks with fewer assessment costs. In this respect
Externí odkaz:
http://arxiv.org/abs/2308.09340
Nowadays, search engine users commonly rely on query suggestions to improve their initial inputs. Current systems are very good at recommending lexical adaptations or spelling corrections to users' queries. However, they often struggle to suggest sem
Externí odkaz:
http://arxiv.org/abs/2301.08006
Depressive disorders constitute a severe public health issue worldwide. However, public health systems have limited capacity for case detection and diagnosis. In this regard, the widespread use of social media has opened up a way to access public inf
Externí odkaz:
http://arxiv.org/abs/2211.07624
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.