Named entity extraction and disambiguation: the missing link

M. B. Habib, M. van Keulen

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

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 languageEnglish
Title of host publicationProceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA
Place of PublicationNew York
PublisherACM
Pages37-40
Number of pages4
Publication statusPublished - 1 Oct 2013

Cite this

Habib, M. B., & Keulen, M. V. (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, San Francisco, USA (pp. 37-40). ACM.