[EN] Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isolation, while social studies highlight ...
[EN] In this work, we propose a variant of a well-known instancebased
algorithm: WKNN. Our idea is to exploit task-dependent features
in order to calculate the weight of the instances according to a
novel paradigm: the ...
Lazzardi, Silvia; Patti, Viviana; Rosso, Paolo(Sociedad Española para el Procesamiento del Lenguaje Natural, 2021-03)
[EN] Misogyny is a multifaceted phenomenon and can be linguistically manifested in numerous ways. The evaluation campaigns of EVALITA and IberEval in 2018 proposed a shared task of Automatic Misogyny Identification (AMI) ...
Frenda, Simona; Banerjee, Somnath; Rosso, Paolo; Patti, Viviana(Instituto Politecnico Nacional/Centro de Investigacion en Computacion, 2020)
[EN] In the last years, the control of online user generated content is becoming a priority, because of the increase of online aggressiveness and hate speech legal cases. Considering the complexity and the importance of ...
Frenda, Simona; Patti, Viviana; Rosso, Paolo(Cambridge University Press, 2022)
[EN] Abusive language is becoming a problematic issue for our society. The spread of messages that reinforce social and cultural intolerance could have dangerous effects in victims¿ life. State-of-the-art technologies are ...
[EN] Stance Detection is the task of automatically determining whether the author of a text is in favor, against, or neutral towards a given target. In this paper we investigate the portability of tools performing this ...
[EN] In the last decade, social media gained a very significant role in public debates, and despite the many intrinsic difficulties of analyzing data streaming from on-line platforms that are poisoned by bots, trolls, and ...
[EN] In the last decade, the need to detect automatically irony to correctly recognize the sentiment and hate speech involved in online texts increased the investigation on humorous figures of speech in NLP. The slight ...