200 citations · 261 across the 2 of their papers we have counts for
5 papers
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
Sanghyun Yi, Rahul Goel, Chandra Khatri +6
Encoder-decoder based neural architectures serve as the basis of state-of-the-art approaches in end-to-end open domain dialog systems. Since most of such systems are trained with a…
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
Alessandra Cervone, Chandra Khatri, Rahul Goel +4
Current approaches to Natural Language Generation (NLG) for dialog mainly focus on domain-specific, task-oriented applications (e.g. restaurant booking) using limited ontologies (u…
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh +19
Building open domain conversational systems that allow users to have engaging conversations on topics of their choice is a challenging task. Alexa Prize was launched in 2016 to tac…
Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision
Chandra Khatri, Behnam Hedayatnia, Rahul Goel +3
As open-ended human-chatbot interaction becomes commonplace, sensitive content detection gains importance. In this work, we propose a two stage semi-supervised approach to bootstra…
Conversational AI: The Science Behind the Alexa Prize
Ashwin Ram, Rohit Prasad, Chandra Khatri +15
Conversational agents are exploding in popularity. However, much work remains in the area of social conversation as well as free-form conversation over a broad range of domains and…