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09/01/2023
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
Dialogue policy learning (DPL) is a crucial component of dialogue modell...
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05/22/2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
Generating persona consistent dialogue response is important for develop...
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10/11/2022
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
News recommendation (NR) is essential for online news services. Existing...
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02/28/2022
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning
Dialogue Policy Learning is a key component in a task-oriented dialogue ...
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11/02/2021
Integrating Pretrained Language Model for Dialogue Policy Learning
Reinforcement Learning (RL) has been witnessed its potential for trainin...
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10/13/2021
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning
Standard few-shot relation classification (RC) is designed to learn a ro...
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09/11/2021
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning
Few-shot slot tagging is an emerging research topic in the field of Natu...
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09/11/2021
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System
A multi-turn dialogue always follows a specific topic thread, and topic ...
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08/26/2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Meta-learning is widely used for few-shot slot tagging in the task of fe...
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11/17/2020
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
Compared with CrossWOZ (Chinese) and MultiWOZ (English) dataset which ha...
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06/12/2020