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pro vyhledávání: '"de Kock, Christine"'
Autor:
de Kock, Christine
Research on extremist online communities frequently utilizes linguistic analysis to explore group dynamics and behaviour. Existing studies often rely on outdated lexicons that do not capture the evolving nature of in-group language, nor the social st
Externí odkaz:
http://arxiv.org/abs/2409.19257
Autor:
de Kock, Christine
Group interactions take place within a particular socio-temporal context, which should be taken into account when modelling communities. We propose a method for jointly modelling community structure and language over time, and apply it in the context
Externí odkaz:
http://arxiv.org/abs/2409.19243
Autor:
Liu, Zhiwei, Yang, Kailai, Xie, Qianqian, de Kock, Christine, Ananiadou, Sophia, Hovy, Eduard
Misinformation is prevalent in various fields such as education, politics, health, etc., causing significant harm to society. However, current methods for cross-domain misinformation detection rely on time and resources consuming fine-tuning and comp
Externí odkaz:
http://arxiv.org/abs/2406.11093
Autor:
Ousidhoum, Nedjma, Muhammad, Shamsuddeen Hassan, Abdalla, Mohamed, Abdulmumin, Idris, Ahmad, Ibrahim Said, Ahuja, Sanchit, Aji, Alham Fikri, Araujo, Vladimir, Beloucif, Meriem, De Kock, Christine, Hourrane, Oumaima, Shrivastava, Manish, Solorio, Thamar, Surange, Nirmal, Vishnubhotla, Krishnapriya, Yimam, Seid Muhie, Mohammad, Saif M.
We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algeria
Externí odkaz:
http://arxiv.org/abs/2403.18933
Autor:
Ousidhoum, Nedjma, Muhammad, Shamsuddeen Hassan, Abdalla, Mohamed, Abdulmumin, Idris, Ahmad, Ibrahim Said, Ahuja, Sanchit, Aji, Alham Fikri, Araujo, Vladimir, Ayele, Abinew Ali, Baswani, Pavan, Beloucif, Meriem, Biemann, Chris, Bourhim, Sofia, De Kock, Christine, Dekebo, Genet Shanko, Hourrane, Oumaima, Kanumolu, Gopichand, Madasu, Lokesh, Rutunda, Samuel, Shrivastava, Manish, Solorio, Thamar, Surange, Nirmal, Tilaye, Hailegnaw Getaneh, Vishnubhotla, Krishnapriya, Winata, Genta, Yimam, Seid Muhie, Mohammad, Saif M.
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily focused on semantic similarity, often within the English language con
Externí odkaz:
http://arxiv.org/abs/2402.08638
Publikováno v:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Disagreements are frequently studied from the perspective of either detecting toxicity or analysing argument structure. We propose a framework of dispute tactics that unifies these two perspectives, as well as other dialogue acts which play a role in
Externí odkaz:
http://arxiv.org/abs/2212.08353
Autor:
de Kock, Christine, Vlachos, Andreas
Disagreements are pervasive in human communication. In this paper we investigate what makes disagreement constructive. To this end, we construct WikiDisputes, a corpus of 7 425 Wikipedia Talk page conversations that contain content disputes, and defi
Externí odkaz:
http://arxiv.org/abs/2101.10917
Autor:
De Kock, Christine
The internet has changed the way people interact, with communication increasingly occurring online. Online interactions have been characterised as more argumentative and more prone to vitriol than offline interactions. However, there are also cases w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf68e4e8a931d4bfc99d5e0d380691d