565 citations · 834 across the 31 of their papers we have counts for
8 papers · 1 filter
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
Rochelle Choenni, Ekaterina Shutova, Robert van Rooij
In this paper, we investigate what types of stereotypical information are captured by pretrained language models. We present the first dataset comprising stereotypical attributes o…
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
Yingjun Du, Nithin Holla, Xiantong Zhen +2
A critical challenge faced by supervised word sense disambiguation (WSD) is the lack of large annotated datasets with sufficient coverage of words in their diversity of senses. Thi…
Ruddit: Norms of Offensiveness for English Reddit Comments
Rishav Hada, Sohi Sudhir, Pushkar Mishra +3
On social media platforms, hateful and offensive language negatively impact the mental well-being of users and the participation of people from diverse backgrounds. Automatic metho…
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability
Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
Abuse on the Internet is an important societal problem of our time. Millions of Internet users face harassment, racism, personal attacks, and other types of abuse across various pl…
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
Metaphors are widely used in political rhetoric as an effective framing device. While the efficacy of specific metaphors such as the war metaphor in political discourse has been do…
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing
Anna Langedijk, Verna Dankers, Phillip Lippe +4
Meta-learning, or learning to learn, is a technique that can help to overcome resource scarcity in cross-lingual NLP problems, by enabling fast adaptation to new tasks. We apply mo…
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
Pere-Lluís Huguet-Cabot, David Abadi, Agneta Fischer +1
Computational modelling of political discourse tasks has become an increasingly important area of research in natural language processing. Populist rhetoric has risen across the po…
Multilingual and cross-lingual document classification: A meta-learning approach
Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra +1
The great majority of languages in the world are considered under-resourced for the successful application of deep learning methods. In this work, we propose a meta-learning approa…