Challenges from information extraction to information fusion

Research output: Contribution to conferencePaperpeer-review

Abstract

Information Extraction (IE) technology is facing new challenges of dealing with large-scale heterogeneous data sources from different documents, languages and modalities. Information fusion, a new emerging area derived from IE, aims to address these challenges. We specify the requirements and possible solutions to perform information fusion. The issues include redundancy removal, contradiction resolution and uncertainty reduction. We believe this is a critical step to advance IE to a higher level of performance and portability.

Original languageEnglish (US)
Pages507-515
Number of pages9
StatePublished - Dec 1 2010
Externally publishedYes
Event23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China
Duration: Aug 23 2010Aug 27 2010

Other

Other23rd International Conference on Computational Linguistics, Coling 2010
CountryChina
CityBeijing
Period8/23/108/27/10

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

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