2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
Zhuang Li, Lizhen Qu, Philip R. Cohen +2
Multilingual semantic parsing aims to leverage the knowledge from the high-resource languages to improve low-resource semantic parsing, yet commonly suffers from the data imbalance…
cs.AI2023★ 2 cited
An Explainable Collaborative Dialogue System using a Theory of Mind
Philip R. Cohen, Lucian Galescu, Maayan Shvo
Eva is a neuro-symbolic domain-independent multimodal collaborative dialogue system that takes seriously that the purpose of task-oriented dialogue is to assist the user. To do thi…
cs.HC2022
Natural Language Communication with a Teachable Agent
Rachel Love, Edith Law, Philip R. Cohen +1
Conversational teachable agents offer a promising platform to support learning, both in the classroom and in remote settings. In this context, the agent takes the role of the novic…