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Transformer models: an introduction and catalog
The goal of this paper is to offer a somewhat comprehensive but simple catalog and classification of the most popular Transformer models.
High Quality Related Search Query Suggestions using Deep Reinforcement Learning
To recommend high quality related search queries, we train a Deep Reinforcement Learning model to predict the query a user would enter next.
Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations
Dialogue level quality estimation is vital for optimizing data driven dialogue management.
Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation
To address these gaps, we created a new Response Quality annotation scheme, introduced five new domain-independent feature sets and experimented with six machine learning models to estimate User Satisfaction at both turn and dialogue level.
Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation
An automated metric to evaluate dialogue quality is vital for optimizing data driven dialogue management.
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