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  Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs

Lu, X., Pramanik, S., Saha Roy, R., Abujabal, A., Wang, Y., & Weikum, G. (2019). Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs. In B. Piwowarski, M. Chevalier, & É. Gaussier (Eds.), SIGIR'19 (pp. 105-114). New York, NY: ACM. doi:10.1145/3331184.3331252.

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Genre: Conference Paper

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 Creators:
Lu, Xiaolu1, Author
Pramanik, Soumajit1, Author
Saha Roy, Rishiraj2, Author           
Abujabal, Abdalghani1, Author           
Wang, Yafang1, Author           
Weikum, Gerhard2, 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: 20192019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: lu19answering
DOI: 10.1145/3331184.3331252
 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
  Subtitle : Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
  Abbreviation : SIGIR 2019
Source Genre: Proceedings
 Creator(s):
Piwowarski, Benjamin1, Editor
Chevalier, Max1, Editor
Gaussier, Éric, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 105 - 114 Identifier: ISBN: 978-1-4503-6172-9