Named entity extraction and disambiguation: the missing link

M. B. Habib; M. van Keulen

doi:10.1145/2513204.2513217

Named entity extraction and disambiguation: the missing link

M. B. Habib, M. van Keulen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-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 language	English
Title of host publication	Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA
Place of Publication	New York
Publisher	The Association for Computing Machinery
Pages	37-40
Number of pages	4
DOIs	https://doi.org/10.1145/2513204.2513217
Publication status	Published - 1 Oct 2013
Externally published	Yes

Access to Document

10.1145/2513204.2513217

Cite this

@inproceedings{f3e5a57ef2644e9ba385890924eb7ab4,

title = "Named entity extraction and disambiguation: the missing link",

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.",

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Named entity extraction and disambiguation: the missing link. / Habib, M. B.; Keulen, M. van.
Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA. New York: The Association for Computing Machinery, 2013. p. 37-40.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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