How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context Article Swipe
Hui Wan
,
Hongkang Li
,
Songtao Lu
,
Xiaodong Cui
,
Marina Danilevsky
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.13760
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.13760
The integration of external personalized context information into document-grounded conversational systems has significant potential business value, but has not been well-studied. Motivated by the concept of personalized context-aware document-grounded conversational systems, we introduce the task of context-aware passage retrieval. We also construct a dataset specifically curated for this purpose. We describe multiple baseline systems to address this task, and propose a novel approach, Personalized Context-Aware Search (PCAS), that effectively harnesses contextual information during passage retrieval. Experimental evaluations conducted on multiple popular dense retrieval systems demonstrate that our proposed approach not only outperforms the baselines in retrieving the most relevant passage but also excels at identifying the pertinent context among all the available contexts. We envision that our contributions will serve as a catalyst for inspiring future research endeavors in this promising direction.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2308.13760
- https://arxiv.org/pdf/2308.13760
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386270041
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386270041Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2308.13760Digital Object Identifier
- Title
-
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized ContextWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-08-26Full publication date if available
- Authors
-
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina DanilevskyList of authors in order
- Landing page
-
https://arxiv.org/abs/2308.13760Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2308.13760Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2308.13760Direct OA link when available
- Concepts
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Computer science, Context (archaeology), Task (project management), Construct (python library), Baseline (sea), Information retrieval, Data science, World Wide Web, Human–computer interaction, Engineering, Paleontology, Systems engineering, Biology, Oceanography, Programming language, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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