6 citations · 6 across the 1 of their papers we have counts for
6 papers · 1 filter
Zero-shot Audio Topic Reranking using Large Language Models
Mengjie Qian, Rao Ma, Adian Liusie +3
Multimodal Video Search by Examples (MVSE) investigates using video clips as the query term for information retrieval, rather than the more traditional text query. This enables far…
Adapting an ASR Foundation Model for Spoken Language Assessment
Rao Ma, Mengjie Qian, Mark J. F. Gales +1
A crucial part of an accurate and reliable spoken language assessment system is the underlying ASR model. Recently, large-scale pre-trained ASR foundation models such as Whisper ha…
Can Generative Large Language Models Perform ASR Error Correction?
Rao Ma, Mengjie Qian, Potsawee Manakul +2
ASR error correction is an interesting option for post processing speech recognition system outputs. These error correction models are usually trained in a supervised fashion using…
An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models
Zihan Zhao, Yuncong Liu, Lu Chen +3
Recently, pre-trained language models like BERT have shown promising performance on multiple natural language processing tasks. However, the application of these models has been li…
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing
Ruisheng Cao, Su Zhu, Chenyu Yang +5
One daunting problem for semantic parsing is the scarcity of annotation. Aiming to reduce nontrivial human labor, we propose a two-stage semantic parsing framework, where the first…
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding
Su Zhu, Zijian Zhao, Rao Ma +1
Traditional slot filling in natural language understanding (NLU) predicts a one-hot vector for each word. This form of label representation lacks semantic correlation modelling, wh…