Named entity extraction and disambiguation: the missing link
Pages 37 - 40
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.
References
[1]
Mena B. Habib and M. van Keulen. Named entity extraction and disambiguation: The reinforcement effect. In Proceedings of the 5th International Workshop on Management of Uncertain Data, MUD 2011, Seatle, USA, pages 9--16, 2011.
[2]
Mena B. Habib and M. van Keulen. Improving toponym disambiguation by iteratively enhancing certainty of extraction. In Proceedings of the 4th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2012, Barcelona, Spain, pages 399--410, 2012.
[3]
Mena B. Habib and M. van Keulen. A hybrid approach for robust multilingual toponym extraction and disambiguation. In Proceedings of the International Conference on Language Processing and Intelligent Information Systems (LP&IIS 2013), Warsaw, Poland, 2013.
[4]
Mena B. Habib and M. van Keulen. Unsupervised improvement of named entity extraction in short informal context using disambiguation clues. In Workshop on Semantic Web and Information Extraction, SWAIE 2012, Galway, Ireland, pages 1--10, 2012.
[5]
Mena B. Habib, M. van Keulen, and Z. Zhu. Concept extraction challenge: University of twente at #msm2013. In Proceedings of the 3rd workshop on 'Making Sense of Microposts' (#MSM2013), Rio de Janeiro, Brazil, 2013.
[6]
Mohamed Amir Yosef, Johannes Hoffart, Ilaria Bordino, Marc Spaniol, and Gerhard Weikum. Aida: An online tool for accurate disambiguation of named entities in text and tables. PVLDB, 4(12):1450--1453, 2011.
[7]
Mena B. Habib and M. van Keulen. A generic openworld named entity disambiguation approach for tweets. In Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal, 2013.
Index Terms
- Named entity extraction and disambiguation: the missing link
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Published In
October 2013
68 pages
ISBN:9781450324137
DOI:10.1145/2513204
- General Chairs:
- Paul N. Bennett,
- Evgeniy Gabrilovich,
- Jaap Kamps,
- Jussi Karlgren
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Publication History
Published: 28 October 2013
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- Short-paper
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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
October 28, 2013
California, San Francisco, USA
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ESAIR '13 Paper Acceptance Rate 14 of 21 submissions, 67%;
Overall Acceptance Rate 35 of 55 submissions, 64%
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