4 citations · 6 across the 6 of their papers we have counts for
11 papers · 1 filter
Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot
Juraj Juraska, Kevin K. Bowden, Lena Reed +12
Athena 2.0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges. One reason for Athena's success is its novel dialogue management strat…
Athena: Constructing Dialogues Dynamically with Discourse Constraints
Vrindavan Harrison, Juraj Juraska, Wen Cui +11
This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management t…
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation
Lena Reed, Vrindavan Harrison, Shereen Oraby +2
Natural language generators (NLGs) for task-oriented dialogue typically take a meaning representation (MR) as input. They are trained end-to-end with a corpus of MR/utterance pairs…
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
Kevin K. Bowden, Jiaqi Wu, Wen Cui +6
Conversational systems typically focus on functional tasks such as scheduling appointments or creating todo lists. Instead we design and evaluate SlugBot (SB), one of 8 semifinalis…
SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
Kevin K. Bowden, Jiaqi Wu, Wen Cui +5
One of the most interesting aspects of the Amazon Alexa Prize competition is that the framing of the competition requires the development of new computational models of dialogue an…
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
Vrindavan Harrison, Lena Reed, Shereen Oraby +1
Neural generation methods for task-oriented dialogue typically generate from a meaning representation that is populated using a database of domain information, such as a table of d…