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Found 8 papers, 3 papers with code
Contextual Dialogue Act Classification for Open-Domain Conversational Agents
Furthermore, our results show that fine-tuning the CDAC model on a small sample of manually labeled human-machine conversations allows CDAC to more accurately predict dialogue acts in real users' conversations, suggesting a promising direction for future improvements.
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Our results show that ConCET significantly improves topic classification performance on both datasets, including 8-10% improvements over state-of-the-art deep learning methods.
Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation
One of the key benefits of voice-based personal assistants is the potential to proactively recommend relevant and interesting information.
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
The insights from our study can enable more intelligent conversational systems, which could adapt in real-time to the inferred user satisfaction and engagement.
Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems
To accomplish this, we report results obtained from a large-scale empirical study that measures the effects of prosodic modulation on user behavior and engagement across multiple conversation domains, both immediately after each turn, and at the overall conversation level.
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce
Retrieving all semantically relevant products from the product catalog is an important problem in E-commerce.
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks
Experiments on three tasks, i. e., Shopping Utterance Generation, Product Question Generation and Query Auto Completion, demonstrate that our metrics are effective for evaluating STG tasks, and improve the agreement with human judgement up to 20% with respect to common NLG metrics.
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings
Conversational Task Assistants (CTAs) are conversational agents whose goal is to help humans perform real-world tasks.
