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BERT-CoQAC: BERT-based Conversational Question Answering in Context
On one hand, we introduce a framework based on a publically available pre-trained language model called BERT for incorporating history turns into the system.
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applications is the Conversational Recommender System (CRS).
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis
Specifically, we find that DAE parameters strongly affect the prediction accuracy of the recommender systems, and the effect is transferable to similar datasets in a larger size.
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