2 Apr 2024 14:00-15:00 @ COM3 01-23: Farah Benamara / Humans Need Context, What About Machines? Investigating Conversational Context in Abusive Language Detection
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Min Yen KAN
Mar 31, 2024, 8:00:40 PM3/31/24
to Singapore NLP Group
Hi all:
Prof. Farah Benamara, currently visiting SG for an extended IPAL collaboration, will be giving a seminar at NUS SoC on Tuesday. Hope to see you there!
– Min
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IPAL SEMINAR
Humans Need Context, What About Machines? Investigating Conversational Context in Abusive Language Detection
Speaker: Farah Benamara, Professor, Paul Sabatier University, Toulouse, France.
02 Apr 2024 Tuesday, 02:00 PM to 03:30 PM
SR14, COM3 01-23
Chaired by: Dr OOI Wei Tsang, Associate Professor, School of Computing
Abstract:
A crucial aspect of abusive language on social media platforms (toxicity, hate speech, harmful stereotypes, etc.) is its inherent contextual nature. In this talk, we focus on the role of conversational context in abusive language detection, one of the most “direct” forms of context in this domain, as given by the conversation threads (e.g., directly preceding message, original post). The incorporation of surrounding messages has proven vital for the accurate human annotation of harmful content. However, many prior works have either ignored this aspect, collecting and processing messages in isolation or have obtained inconsistent results when attempting to embed such contextual information into traditional classification methods. The reasons behind these findings have not yet been properly addressed. To this end, we propose an analysis of the impact of conversational context in abusive language detection together with two alternative context-aware architectures.
Reference:
Tom Bourgeade, Zongmin Li, Farah Benamara, Véronique Moriceau, Jian Su and Aixin Sun. Humans Need Context, What About Machines? Investigating Conversational Context in Abusive Language Detection. To appear in the proceedings of LREC-COLING 2024
Bio
Farah Benamara is a Full Professor in Computer Science at Paul Sabatier University in Toulouse, France. She is a member of the Artificial Intelligence Department of the IRIT laboratory. She is a co-head of MELODI (MEthodes et ingénierie des Langues, des Ontologies et du DIscours), a research group in NLP, Ontologies and Semantic Web technologies. Since September 2023, Farah joined CNRS@CREATE in Singapore. She is also a member of IPAL, a CNRS International (French-Singaporean) Research Laboratory on Artificial Intelligence (IPAL) where she co-lead the NLP theme.
A crucial aspect of abusive language on social media platforms (toxicity, hate speech, harmful stereotypes, etc.) is its inherent contextual nature. In this talk, we focus on the role of conversational context in abusive language detection, one of the most “direct” forms of context in this domain, as given by the conversation threads (e.g., directly preceding message, original post). The incorporation of surrounding messages has proven vital for the accurate human annotation of harmful content. However, many prior works have either ignored this aspect, collecting and processing messages in isolation or have obtained inconsistent results when attempting to embed such contextual information into traditional classification methods. The reasons behind these findings have not yet been properly addressed. To this end, we propose an analysis of the impact of conversational context in abusive language detection together with two alternative context-aware architectures.
Reference:
Tom Bourgeade, Zongmin Li, Farah Benamara, Véronique Moriceau, Jian Su and Aixin Sun. Humans Need Context, What About Machines? Investigating Conversational Context in Abusive Language Detection. To appear in the proceedings of LREC-COLING 2024
Bio
Farah Benamara is a Full Professor in Computer Science at Paul Sabatier University in Toulouse, France. She is a member of the Artificial Intelligence Department of the IRIT laboratory. She is a co-head of MELODI (MEthodes et ingénierie des Langues, des Ontologies et du DIscours), a research group in NLP, Ontologies and Semantic Web technologies. Since September 2023, Farah joined CNRS@CREATE in Singapore. She is also a member of IPAL, a CNRS International (French-Singaporean) Research Laboratory on Artificial Intelligence (IPAL) where she co-lead the NLP theme.
Cheers,
Min
--
Min-Yen KAN (Dr) :: Vice Dean (Undergraduate Studies) :: Associate Professor :: National University of Singapore :: NUS School of Computing
COM3 02-30, 11 Research Link, Singapore 119391 :: +65 6516 1885(DID) :: +65 6779 4580 (Fax) :: ka...@comp.nus.edu.sg (E) :: www.comp.nus.edu.sg/~kanmy (W)
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