23 citations · 93 across the 44 of their papers we have counts for
8 papers · 1 filter
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation
Iknoor Singh, Kalina Bontcheva, Xingyi Song +1
This paper compares quantitatively the spread of Ukraine-related disinformation and its corresponding debunks, first by considering re-tweets, replies, and favourites, which demons…
Classifying COVID-19 vaccine narratives
Yue Li, Carolina Scarton, Xingyi Song +1
Vaccine hesitancy is widespread, despite the government's information campaigns and the efforts of the World Health Organisation (WHO). Categorising the topics within vaccine-relat…
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity
Iknoor Singh, Yue Li, Melissa Thong +1
This paper describes the second-placed system on the leaderboard of SemEval-2022 Task 8: Multilingual News Article Similarity. We propose an entity-enriched Siamese Transformer whi…
Controlling Extra-Textual Attributes about Dialogue Participants -- A Case Study of English-to-Polish Neural Machine Translation
Sebastian T. Vincent, Loïc Barrault, Carolina Scarton
Unlike English, morphologically rich languages can reveal characteristics of speakers or their conversational partners, such as gender and number, via pronouns, morphological endin…
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia +3
This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification task aimed at identif…
Sample Efficient Approaches for Idiomaticity Detection
Dylan Phelps, Xuan-Rui Fan, Edward Gow-Smith +3
Deep neural models, in particular Transformer-based pre-trained language models, require a significant amount of data to train. This need for data tends to lead to problems when de…
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022
Sebastian T. Vincent, Loïc Barrault, Carolina Scarton
This paper describes the SLT-CDT-UoS group's submission to the first Special Task on Formality Control for Spoken Language Translation, part of the IWSLT 2022 Evaluation Campaign.…
Improving Tokenisation by Alternative Treatment of Spaces
Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton +1
Tokenisation is the first step in almost all NLP tasks, and state-of-the-art transformer-based language models all use subword tokenisation algorithms to process input text. Existi…