QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
Neural IR has advanced through two distinct paths: entity-oriented approaches leveraging knowledge graphs and multi-vector models capturing fine-grained semantics. We introduce QDER, a neural re-ranking model that unifies these approaches by integrating knowledge graph semantics into a multi-vector model.
Authors
- Shubham Chatterjee (ORCID: https://orcid.org/0000-0002-6729-1346)
- Jeff Dalton (ORCID: https://orcid.org/0000-0003-2422-8651)
Institutions
- Missouri University of Science and Technology (US)
- University of Edinburgh (GB)
Publication Details
- Published
- 2025-07-13
- DOI
- https://doi.org/10.1145/3726302.3730065
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00