Comparing Score Aggregation Approaches for Document Retrieval with Pretrained 
Transformers

Zhang, Xinyu; Yates, Andrew; Lin, Jimmy

doi:10.1007/978-3-030-72240-1_11

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Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers

Zhang, X., Yates, A., & Lin, J. (2021). Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers. In D. Hiemstra, M.-F. Moens, J. Mothe, R. Perego, M. Potthast, & F. Sebastiani (Eds.), Advances in Information Retrieval (pp. 150-163). Berlin: Springer. doi:10.1007/978-3-030-72240-1_11.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-6614-E Version Permalink: https://hdl.handle.net/21.11116/0000-000B-BAD1-7

Genre: Conference Paper

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Creators:
Zhang, Xinyu¹, Author
Yates, Andrew², Author
Lin, Jimmy¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018

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Language(s): eng - English

Dates: Accepted: 2021Published Online: 2021Date issued: 2021

Publication Status: Issued

Pages: -

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Identifiers: BibTex Citekey: Zhang_ECIR2021
DOI: 10.1007/978-3-030-72240-1_11

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Title: 43rd European Conference on IR Research

Place of Event: Lucca, Italy (Online Event)

Start-/End Date: 2021-03-28 - 2021-04-01

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Title: Advances in Information Retrieval

Abbreviation : ECIR 2021

Subtitle : 43rd European Conference on IR Research, ECIR 2021 ; Virtual Event, March 28 - April 1, 2021 ; Proceedings, Part II

Source Genre: Proceedings

Creator(s):
Hiemstra, Djoerd¹, Editor
Moens, Marie-Francine¹, Editor
Mothe, Josiane¹, Editor
Perego, Raffaele¹, Editor
Potthast, Martin¹, Editor
Sebastiani, Fabrizio¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Berlin : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 150 - 163 Identifier: ISBN: 978-3-030-72239-5

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Title: Lecture Notes in Computer Science

Abbreviation : LNCS

Source Genre: Series

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Pages: - Volume / Issue: 12657 Sequence Number: - Start / End Page: - Identifier: -