| License: Creative Commons Attribution 4.0 PDF - Published Version (2MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-768360
- DOI to cite this document:
- 10.5283/epub.76836
Abstract
Conversational agents struggle to answer questions during complex tasks such as do-it-yourself (DIY) projects and cooking due to difficulties in understanding task context and user information needs. This study examines the efficacy of integrating conversational and task context in query and document representations to enhance question answering (QA) performance in cooking tasks. We evaluated ...

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