3 citations · 4 across the 6 of their papers we have counts for
7 papers · 1 filter
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model
Chenyu You, Nuo Chen, Fenglin Liu +3
In spoken question answering, the systems are designed to answer questions from contiguous text spans within the related speech transcripts. However, the most natural way that huma…
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
Nuo Chen, Linjun Shou, Ming Gong +2
Large-scale cross-lingual pre-trained language models (xPLMs) have shown effectiveness in cross-lingual sequence labeling tasks (xSL), such as cross-lingual machine reading compreh…
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
Spoken question answering (SQA) requires fine-grained understanding of both spoken documents and questions for the optimal answer prediction. In this paper, we propose novel traini…
Self-supervised Dialogue Learning for Spoken Conversational Question Answering
Nuo Chen, Chenyu You, Yuexian Zou
In spoken conversational question answering (SCQA), the answer to the corresponding question is generated by retrieving and then analyzing a fixed spoken document, including multi-…
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension
Nuo Chen, Fenglin Liu, Chenyu You +2
Recently, the attention-enhanced multi-layer encoder, such as Transformer, has been extensively studied in Machine Reading Comprehension (MRC). To predict the answer, it is common…
Towards Data Distillation for End-to-end Spoken Conversational Question Answering
Chenyu You, Nuo Chen, Fenglin Liu +2
In spoken question answering, QA systems are designed to answer questions from contiguous text spans within the related speech transcripts. However, the most natural way that human…