15 citations · 39 across the 17 of their papers we have counts for
13 papers · 1 filter
Grammatical Error Feedback: An Implicit Evaluation Approach
Stefano Bannò, Kate Knill, Mark J. F. Gales
Grammatical feedback is crucial for consolidating second language (L2) learning. Most research in computer-assisted language learning has focused on feedback through grammatical er…
Efficient Sample-Specific Encoder Perturbations
Yassir Fathullah, Mark J. F. Gales
Encoder-decoder foundation models have displayed state-of-the-art performance on a range of autoregressive sequence tasks. This paper proposes a simple and lightweight modification…
Can GPT-4 do L2 analytic assessment?
Stefano Bannò, Hari Krishna Vydana, Kate M. Knill +1
Automated essay scoring (AES) to evaluate second language (L2) proficiency has been a firmly established technology used in educational contexts for decades. Although holistic scor…
Parallel Attention Forcing for Machine Translation
Qingyun Dou, Mark Gales
Attention-based autoregressive models have achieved state-of-the-art performance in various sequence-to-sequence tasks, including Text-To-Speech (TTS) and Neural Machine Translatio…
Deliberation Networks and How to Train Them
Qingyun Dou, Mark Gales
Deliberation networks are a family of sequence-to-sequence models, which have achieved state-of-the-art performance in a wide range of tasks such as machine translation and speech…
Multiple-Choice Question Generation: Towards an Automated Assessment Framework
Vatsal Raina, Mark Gales
Automated question generation is an important approach to enable personalisation of English comprehension assessment. Recently, transformer-based pretrained language models have de…