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20172025
most citedMax-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting

87 citations · 218 across the 10 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CL2018★ 61 cited

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…

cs.CL2018★ 6 cited

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…

cs.AI2018★ 22 cited

Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems

Rahul Goel, Shachi Paul, Tagyoung Chung +3

Goal-oriented dialogue systems typically rely on components specifically developed for a single task or domain. This limits such systems in two different ways: If there is an updat…

cs.CL2018

Parsing Coordination for Spoken Language Understanding

Sanchit Agarwal, Rahul Goel, Tagyoung Chung +3

Typical spoken language understanding systems provide narrow semantic parses using a domain-specific ontology. The parses contain intents and slots that are directly consumed by do…

cs.CL2018★ 2 cited

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…

cs.CL2018★ 30 cited

Data Augmentation for Robust Keyword Spotting under Playback Interference

Anirudh Raju, Sankaran Panchapagesan, Xing Liu +2

Accurate on-device keyword spotting (KWS) with low false accept and false reject rate is crucial to customer experience for far-field voice control of conversational agents. It is…