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06/25/2023
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input
The ability to model intra-modal and inter-modal interactions is fundame...
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05/22/2023
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training
End-to-end (E2E) spoken language understanding (SLU) is constrained by t...
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04/15/2021
Neural Sequence Segmentation as Determining the Leftmost Segments
Prior methods to text segmentation are mostly at token level. Despite th...
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12/29/2020
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines
End-to-end neural networks have achieved promising performances in natur...
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12/10/2020
Rewriter-Evaluator Framework for Neural Machine Translation
Encoder-decoder architecture has been widely used in neural machine tran...
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06/03/2016
An Attentional Neural Conversation Model with Improved Specificity
In this paper we propose a neural conversation model for conducting dial...
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01/06/2016
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Neural encoder-decoder models of machine translation have achieved impre...
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10/30/2015
Highway Long Short-Term Memory RNNs for Distant Speech Recognition
In this paper, we extend the deep long short-term memory (DLSTM) recurre...
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10/29/2015
Attention with Intention for a Neural Network Conversation Model
In a conversation or a dialogue process, attention and intention play in...
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08/16/2015
Depth-Gated LSTM
In this short note, we present an extension of long short-term memory (L...
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05/31/2015