46 citations · 69 across the 6 of their papers we have counts for
10 papers · 1 filter
Scientific and Creative Analogies in Pretrained Language Models
Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra +1
This paper examines the encoding of analogy in large-scale pretrained language models, such as BERT and GPT-2. Existing analogy datasets typically focus on a limited set of analogi…
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…
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…
Graph-based Modeling of Online Communities for Fake News Detection
Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis +3
Over the past few years, there has been a substantial effort towards automated detection of fake news on social media platforms. Existing research has modeled the structure, style,…
Joint Modelling of Emotion and Abusive Language Detection
Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis +1
The rise of online communication platforms has been accompanied by some undesirable effects, such as the proliferation of aggressive and abusive behaviour online. Aiming to tackle…
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis +1
The success of deep learning methods hinges on the availability of large training datasets annotated for the task of interest. In contrast to human intelligence, these methods lack…