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11/10/2022
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking
Dialogue state tracking (DST) aims to convert the dialogue history into ...
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10/17/2022
Mars: Semantic-aware Contrastive Learning for End-to-End Task-Oriented Dialog
Traditional end-to-end task-oriented dialog systems first convert dialog...
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10/11/2022
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking
Few-shot dialogue state tracking (DST) is a realistic problem that train...
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05/05/2022
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog
A typical end-to-end task-oriented dialog system transfers context into ...
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08/18/2021
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension
Reasoning machine reading comprehension (R-MRC) aims to answer complex q...
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04/21/2020
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Unsupervised neural machine translation (UNMT) has recently achieved rem...
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04/09/2020
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Unsupervised neural machine translation (UNMT) that relies solely on mas...
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02/28/2020
Robust Unsupervised Neural Machine Translation with Adversarial Training
Unsupervised neural machine translation (UNMT) has recently attracted gr...
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08/26/2019
