Named entity extraction and disambiguation: the missing link

Mena Badieh Habib, Maurice van Keulen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well covered in literature. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency. It is the aim of this position paper to explore that dependency and show how one affects the other, and vice versa. We show the benefit of using this reinforcement effect on two domains: NEE and NED for toponyms in formal text; and for arbitrary entity types in informal short text in tweets. Finally we give an insight about the potential of this approach for future research.
Original languageUndefined
Title of host publicationProceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages37-40
Number of pages3
ISBN (Print)978-1-4503-2413-7
DOIs
Publication statusPublished - Oct 2013

Publication series

Name
PublisherACM

Keywords

  • Named Entity RecognitionNamed Entity LinkingNamed Entity ExtractionNamed Entity DisambiguationSocial MediaTwitterTweetsMicroblogs
  • METIS-297766
  • IR-87097
  • EWI-23564

Cite this

Habib, M. B., & van Keulen, M. (2013). Named entity extraction and disambiguation: the missing link. In Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013 (pp. 37-40). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2513204.2513217