2 citations · 2 across the 5 of their papers we have counts for
12 papers
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi +2
We compare sequential fine-tuning with a model for multi-task learning in the context where we are interested in boosting performance on two tasks, one of which depends on the othe…
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…
Learned Construction Grammars Converge Across Registers Given Increased Exposure
Jonathan Dunn, Harish Tayyar Madabushi
This paper measures the impact of increased exposure on whether learned construction grammars converge onto shared representations when trained on data from different registers. Re…
UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction
Erik Yan, Harish Tayyar Madabushi
Toxicity is pervasive in social media and poses a major threat to the health of online communities. The recent introduction of pre-trained language models, which have achieved stat…
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton +1
Despite their success in a variety of NLP tasks, pre-trained language models, due to their heavy reliance on compositionality, fail in effectively capturing the meanings of multiwo…
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
Anushka Prakash, Harish Tayyar Madabushi
The explosive growth and popularity of Social Media has revolutionised the way we communicate and collaborate. Unfortunately, this same ease of accessing and sharing information ha…