354 citations · 1.6k across the 74 of their papers we have counts for
7 papers · 2 filters
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
Juraj Juraska, Kevin K. Bowden, Marilyn Walker
The uptake of deep learning in natural language generation (NLG) led to the release of both small and relatively large parallel corpora for training neural models. The existing dat…
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…
Implicit Discourse Relation Identification for Open-domain Dialogues
Mingyu Derek Ma, Kevin K. Bowden, Jiaqi Wu +2
Discourse relation identification has been an active area of research for many years, and the challenge of identifying implicit relations remains largely an unsolved task, especial…
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG
Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi +1
Neural natural language generation (NNLG) from structured meaning representations has become increasingly popular in recent years. While we have seen progress with generating synta…