Challenges from information extraction to information fusion

  • Authors:
  • Heng Ji

  • Affiliations:
  • City University of New York

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
  • Year:
  • 2010

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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.