10 papers · 1 filter
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick +1
A limitation of current neural dialog models is that they tend to suffer from a lack of specificity and informativeness in generated responses, primarily due to dependence on train…
Truth-Conditional Captioning of Time Series Data
Harsh Jhamtani, Taylor Berg-Kirkpatrick
In this paper, we explore the task of automatically generating natural language descriptions of salient patterns in a time series, such as stock prices of a company over a week. A…
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
Harsh Jhamtani, Varun Gangal, Eduard Hovy +1
Humans often employ figurative language use in communication, including during interactions with dialog systems. Thus, it is important for real-world dialog systems to be able to h…
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley +1
Humans often refer to personal narratives, life experiences, and events to make a conversation more engaging and rich. While persona-grounded dialog models are able to generate res…
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation
Varun Gangal, Harsh Jhamtani, Eduard Hovy +1
Multiple different responses are often plausible for a given open domain dialog context. Prior work has shown the importance of having multiple valid reference responses for meanin…
Narrative Text Generation with a Latent Discrete Plan
Harsh Jhamtani, Taylor Berg-Kirkpatrick
Past work on story generation has demonstrated the usefulness of conditioning on a generation plan to generate coherent stories. However, these approaches have used heuristics or o…