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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…
Knowledge Distillation for Improved Accuracy in Spoken Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
Spoken question answering (SQA) is a challenging task that requires the machine to fully understand the complex spoken documents. Automatic speech recognition (ASR) plays a signifi…
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
Spoken conversational question answering (SCQA) requires machines to model complex dialogue flow given the speech utterances and text corpora. Different from traditional text quest…
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation
Chenyu You, Junlin Yang, Julius Chapiro +1
Deep neural networks have shown exceptional learning capability and generalizability in the source domain when massive labeled data is provided. However, the well-trained models of…
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding
Fenglin Liu, Xuancheng Ren, Guangxiang Zhao +4
In sequence-to-sequence learning, e.g., natural language generation, the decoder relies on the attention mechanism to efficiently extract information from the encoder. While it is…