565 citations · 948 across the 13 of their papers we have counts for
6 papers · 2 filters
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…
Contextual Topic Modeling For Dialog Systems
Chandra Khatri, Rahul Goel, Behnam Hedayatnia +4
Accurate prediction of conversation topics can be a valuable signal for creating coherent and engaging dialog systems. In this work, we focus on context-aware topic classification…
Contextual Language Model Adaptation for Conversational Agents
Anirudh Raju, Behnam Hedayatnia, Linda Liu +5
Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR) systems used by conversational agents. These ASR systems should provide a high accuracy under…
Topic-based Evaluation for Conversational Bots
Fenfei Guo, Angeliki Metallinou, Chandra Khatri +3
Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined. We propose to evaluate dialog quality using t…
On Evaluating and Comparing Open Domain Dialog Systems
Anu Venkatesh, Chandra Khatri, Ashwin Ram +10
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over r…