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 language | English (US) |
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Title of host publication | Proceedings of The Eleventh Dialog System Technology Challenge |
Editors | Yun-Nung Chen, Paul Crook, Michel Galley, Sarik Ghazarian, Chulaka Gunasekara, Raghav Gupta, Behnam Hedayatnia, Satwik Kottur, Seungwhan Moon, Chen Zhang |
Place of Publication | Prague, Czech Republic |
Publisher | Association for Computational Linguistics |
Pages | 274-281 |
Number of pages | 8 |
State | Published - Sep 2023 |
Externally published | Yes |