Search Results for author: Sanchit Agarwal

Found 8 papers, 3 papers with code

Few Shot Dialogue State Tracking using Meta-learning

1 code implementation EACL 2021 Saket Dingliwal, Bill Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tur

Dialogue State Tracking (DST) forms a core component of automated chatbot based systems designed for specific goals like hotel, taxi reservation, tourist information, etc.

Chatbot Dialogue State Tracking +1

Dialog State Tracking: A Neural Reading Comprehension Approach

no code implementations WS 2019 Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, Dilek Hakkani-Tur

In contrast to traditional state tracking methods where the dialog state is often predicted as a distribution over a closed set of all the possible slot values within an ontology, our method uses a simple attention-based neural network to point to the slot values within the conversation.

Machine Reading Comprehension Multi-domain Dialogue State Tracking +1

Parsing Coordination for Spoken Language Understanding

no code implementations26 Oct 2018 Sanchit Agarwal, Rahul Goel, Tagyoung Chung, Abhishek Sethi, Arindam Mandal, Spyros Matsoukas

Typical spoken language understanding systems provide narrow semantic parses using a domain-specific ontology.

Spoken Language Understanding

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