Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Parapar, Javier"'
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
Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies have examined the validity and suitability of such tests for comparing se
Externí odkaz:
http://arxiv.org/abs/1901.10696
Publikováno v:
In Artificial Intelligence In Medicine October 2022 132
Publikováno v:
Health Information Science & Systems; 9/6/2024, Vol. 12 Issue 1, p1-18, 18p