DREQ: Document Re-ranking Using Entity-Based Query Understanding-Reference-Cited by-同舟云学术

DREQ: Document Re-ranking Using Entity-Based Query Understanding

Published:2024 Issue: Volume: Page:210-229
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Chatterjee Shubham^ORCID,Mackie Iain,Dalton Jeff^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56027-9_13

Reference75 articles.

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2. Balog, K., Bron, M., De Rijke, M.: Query modeling for entity search based on terms, categories, and examples. ACM Trans. Inf. Syst. 29(4) (2011). https://doi.org/10.1145/2037661.2037667

3. Cao, N.D., Izacard, G., Riedel, S., Petroni, F.: Autoregressive entity retrieval. In: International Conference on Learning Representations (2021). https://openreview.net/pdf?id=5k8F6UU39V

4. Chatterjee, S., Dietz, L.: Entity retrieval using fine-grained entity aspects. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 20021, pp. 1662–1666. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3404835.3463035

5. Chatterjee, S., Dietz, L.: BERT-ER: query-specific BERT entity representations for entity ranking. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022, pp. 1466–1477. Association for Computing Machinery, New York (2022). https://doi.org/10.1145/3477495.3531944

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