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Robustness Testing of Language Understanding in Dialog Systems
Most language understanding models in dialog systems are trained on a sm...
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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Pre-trained Language Models (PLMs) have shown strong performance in vari...
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Bridging the Gap between Conversational Reasoning and Interactive Recommendation
There have been growing interests in building a conversational recommend...
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MultiWOZ 2.3: A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation
Task-oriented dialogue systems have made unprecedented progress with mul...
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Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation
There is a growing interest in developing goal-oriented dialog systems w...
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Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition
Many studies have applied reinforcement learning to train a dialog polic...
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Recent Advances and Challenges in Task-oriented Dialog System
Due to the significance and value in human-computer interaction and natu...
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Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
Dialog policy decides what and how a task-oriented dialog system will re...
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Deep Conversational Recommender in Travel
When traveling to a foreign country, we are often in dire need of an int...
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ConvLab: Multi-Domain End-to-End Dialog System Platform
We present ConvLab, an open-source multi-domain end-to-end dialog system...
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Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning
In this paper, we investigate the task of aggregating search results fro...
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A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Most existing methods determine relation types only after all the entiti...
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