Task-Oriented Conversational Modeling with Subjective Knowledge Track in DSTC11

Seokhwan Kim, Spandana Gella, Chao Zhao, Di Jin, Alexandros Papangelis, Behnam Hedayatnia, Yang Liu, Dilek Z Hakkani-Tur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conventional Task-oriented Dialogue (TOD) Systems rely on domain-specific APIs/DBs or external factual knowledge to create responses. In DSTC11 track 5, we aims to provide a new challenging task to accommodate subjective user requests (e.g.,''Is the WIFI reliable?'' or ``Does the restaurant have a good atmosphere?'' into TOD. We release a benchmark dataset, which contains subjective knowledge-seeking dialogue contexts and manually annotated responses that are grounded in subjective knowledge sources. The challenge track received a total of 48 entries from 14 participating teams.
Original languageEnglish (US)
Title of host publicationProceedings of The Eleventh Dialog System Technology Challenge
EditorsYun-Nung Chen, Paul Crook, Michel Galley, Sarik Ghazarian, Chulaka Gunasekara, Raghav Gupta, Behnam Hedayatnia, Satwik Kottur, Seungwhan Moon, Chen Zhang
Place of PublicationPrague, Czech Republic
PublisherAssociation for Computational Linguistics
Pages274-281
Number of pages8
StatePublished - Sep 2023
Externally publishedYes

Fingerprint

Dive into the research topics of 'Task-Oriented Conversational Modeling with Subjective Knowledge Track in DSTC11'. Together they form a unique fingerprint.

Cite this