27 citations · 43 across the 9 of their papers we have counts for
5 papers · 1 filter
When to generate hedges in peer-tutoring interactions
Alafate Abulimiti, Chloé Clavel, Justine Cassell
This paper explores the application of machine learning techniques to predict where hedging occurs in peer-tutoring interactions. The study uses a naturalistic face-to-face dataset…
How About Kind of Generating Hedges using End-to-End Neural Models?
Alafate Abulimiti, Chloé Clavel, Justine Cassell
Hedging is a strategy for softening the impact of a statement in conversation. In reducing the strength of an expression, it may help to avoid embarrassment (more technically, ``fa…
"You might think about slightly revising the title": identifying hedges in peer-tutoring interactions
Yann Raphalen, Chloé Clavel, Justine Cassell
Hedges play an important role in the management of conversational interaction. In peer tutoring, they are notably used by tutors in dyads (pairs of interlocutors) experiencing low…
A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences
Chloé Clavel, Matthieu Labeau, Justine Cassell
Some exciting new approaches to neural architectures for the analysis of conversation have been introduced over the past couple of years. These include neural architectures for det…
Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog
Tiancheng Zhao, Ran Zhao, Zhao Meng +1
Social norms are shared rules that govern and facilitate social interaction. Violating such social norms via teasing and insults may serve to upend power imbalances or, on the cont…