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  CEDR: Contextualized Embeddings for Document Ranking

MacAvaney, S., Yates, A., Cohan, A., & Goharian, N. (2019). CEDR: Contextualized Embeddings for Document Ranking. In SIGIR'19 (pp. 1101-1104). New York, NY: ACM. doi:10.1145/3331184.3331317.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-02D3-B Version Permalink: http://hdl.handle.net/21.11116/0000-0005-9838-1
Genre: Conference Paper

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 Creators:
MacAvaney, Sean1, Author
Yates, Andrew2, Author              
Cohan, Arman1, Author
Goharian, Nazli1, 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: 201920192019
 Publication Status: Published in print
 Pages: 5 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: MacAvaney_SIGIR2019
DOI: 10.1145/3331184.3331317
 Degree: -

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Title: 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of Event: Paris, France
Start-/End Date: 2019-07-21 - 2019-07-25

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Title: SIGIR'19
  Abbreviation : SIGIR 2019
  Subtitle : Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1101 - 1104 Identifier: ISBN: 9781450361729