Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Fersini, Elisabetta"'
Due to language models' propensity to generate toxic or hateful responses, several techniques were developed to align model generations with users' preferences. Despite the effectiveness of such methods in improving the safety of model interactions,
Externí odkaz:
http://arxiv.org/abs/2309.00751
With the increasing influence of social media platforms, it has become crucial to develop automated systems capable of detecting instances of sexism and other disrespectful and hateful behaviors to promote a more inclusive and respectful online envir
Externí odkaz:
http://arxiv.org/abs/2307.03385
Topic models are statistical methods that extract underlying topics from document collections. When performing topic modeling, a user usually desires topics that are coherent, diverse between each other, and that constitute good document representati
Externí odkaz:
http://arxiv.org/abs/2202.07631
Publikováno v:
Data in brief 44 (2022): 108526
In this paper we present a benchmark dataset generated as part of a project for automatic identification of misogyny within online content, which focuses in particular on memes. The benchmark here described is composed of 800 memes collected from the
Externí odkaz:
http://arxiv.org/abs/2106.08409
Many data sets (e.g., reviews, forums, news, etc.) exist parallelly in multiple languages. They all cover the same content, but the linguistic differences make it impossible to use traditional, bag-of-word-based topic models. Models have to be either
Externí odkaz:
http://arxiv.org/abs/2004.07737
Publikováno v:
In Information Processing and Management September 2023 60(5)
Publikováno v:
In Information Sciences June 2023 632:252-268
Publikováno v:
In Information Processing and Management May 2021 58(3)
Publikováno v:
In Information Sciences May 2020 518:56-70
Publikováno v:
In Information Sciences February 2020 512:581-594