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  PACRR: A Position-Aware Neural IR Model for Relevance Matching

Hui, K., Yates, A., Berberich, K., & de Melo, G. (2017). PACRR: A Position-Aware Neural IR Model for Relevance Matching. In The Conference on Empirical Methods in Natural Language Processing (pp. 1060-1069). Stroudsburg, PA: ACL. Retrieved from https://aclanthology.info/pdf/D/D17/D17-1111.pdf.

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Genre: Conference Paper
Latex : {PACRR}: A Position-Aware Neural {IR} Model for Relevance Matching

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 Creators:
Hui, Kai1, Author           
Yates, Andrew1, Author           
Berberich, Klaus1, Author           
de Melo, Gerard2, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20172017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: HuiENMLP2017
URI: https://aclanthology.info/pdf/D/D17/D17-1111.pdf
 Degree: -

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Title: Conference on Empirical Methods in Natural Language Processing
Place of Event: Copenhagen, Denmark
Start-/End Date: 2017-09-09 - 2017-09-11

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Title: The Conference on Empirical Methods in Natural Language Processing
  Abbreviation : EMNLP 2017
  Subtitle : Proceedings of the Conference
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Stroudsburg, PA : ACL
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1060 - 1069 Identifier: ISBN: 978-1-945626-83-8