15 citations · 34 across the 12 of their papers we have counts for
25 papers
L2 proficiency assessment using self-supervised speech representations
Stefano Bannò, Kate M. Knill, Marco Matassoni +2
There has been a growing demand for automated spoken language assessment systems in recent years. A standard pipeline for this process is to start with a speech recognition system…
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…
Self-Distribution Distillation: Efficient Uncertainty Estimation
Yassir Fathullah, Mark J. F. Gales
Deep learning is increasingly being applied in safety-critical domains. For these scenarios it is important to know the level of uncertainty in a model's prediction to ensure appro…
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
Potsawee Manakul, Mark J. F. Gales
Transformer models have achieved state-of-the-art results in a wide range of NLP tasks including summarization. Training and inference using large transformer models can be computa…