4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CL2019★ 4 cited
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
Michael Regan, Pushpendre Rastogi, Arpit Gupta +1
We present Contextual Query Rewrite (CQR) a dataset for multi-domain task-oriented spoken dialogue systems that is an extension of the Stanford dialog corpus (Eric et al., 2017a).…
cs.CL2018
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems
Amr Sharaf, Arpit Gupta, Hancheng Ge +2
In the slot-filling paradigm, where a user can refer back to slots in the context during the conversation, the goal of the contextual understanding system is to resolve the referri…
cs.CL2018
Contextual Slot Carryover for Disparate Schemas
Chetan Naik, Arpit Gupta, Hancheng Ge +2
In the slot-filling paradigm, where a user can refer back to slots in the context during a conversation, the goal of the contextual understanding system is to resolve the referring…