Query-dependent contextualization of streaming data

Authors
Publication date 2014
Host editors
  • M. de Rijke
  • T. Kenter
  • A.P. de Vries
  • C.X. Zhai
  • F. de Jong
  • K. Radinsky
  • K. Hofmann
Book title Advances in Information Retrieval
Book subtitle 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings
ISBN
  • 9783319060279
ISBN (electronic)
  • 9783319060286
Series Lecture Notes in Computer Science
Event 36th European Conference on Information Retrieval (ECIR'14)
Pages (from-to) 706-712
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We propose a method for linking entities in a stream of short textual documents that takes into account context both inside a document and inside the history of documents seen so far. Our method uses a generic optimization frame- work for combining several entity ranking functions, and we introduce a global control function to control optimization. Our results demonstrate the effective- ness of combining entity ranking functions that take into account context, which is further boosted by 6\% when we use an informed global control function.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-319-06028-6_80
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