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Fine-grained classification of named entities exploiting latent semantic kernels

Author:

Claudio GiulianoAuthors Info & Claims

CoNLL '09: Proceedings of the Thirteenth Conference on Computational Natural Language Learning

Pages 201 - 209

Published: 04 June 2009 Publication History

Abstract

We present a kernel-based approach for fine-grained classification of named entities. The only training data for our algorithm is a few manually annotated entities for each class. We defined kernel functions that implicitly map entities, represented by aggregating all contexts in which they occur, into a latent semantic space derived from Wikipedia. Our method achieves a significant improvement over the state of the art for the task of populating an ontology of people, although requiring considerably less training instances than previous approaches.

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Cited By

Garigliotti DBalog KKamps JKanoulas Ede Rijke MFang HYilmaz E(2017)On Type-Aware Entity RetrievalProceedings of the ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3121050.3121054(27-34)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1145/3121050.3121054
Trummer IHalevy ALee HSarawagi SGupta RSellis TDavidson SIves Z(2015)Mining Subjective Properties on the WebProceedings of the 2015 ACM SIGMOD International Conference on Management of Data10.1145/2723372.2750548(1745-1760)Online publication date: 27-May-2015
https://dl.acm.org/doi/10.1145/2723372.2750548
Quercini GReynaud CGuerrini GPaton N(2013)Entity discovery and annotation in tablesProceedings of the 16th International Conference on Extending Database Technology10.1145/2452376.2452457(693-704)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2452376.2452457
Show More Cited By

Index Terms

Fine-grained classification of named entities exploiting latent semantic kernels
1. Computing methodologies

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cover image DL Hosted proceedings

CoNLL '09: Proceedings of the Thirteenth Conference on Computational Natural Language Learning

June 2009

243 pages

ISBN:9781932432299

Conference Chairs:
Suzanne Stevenson
University of Toronto
,
Xavier Carreras
MIT

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 04 June 2009

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Cited By

Garigliotti DBalog KKamps JKanoulas Ede Rijke MFang HYilmaz E(2017)On Type-Aware Entity RetrievalProceedings of the ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3121050.3121054(27-34)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1145/3121050.3121054
Trummer IHalevy ALee HSarawagi SGupta RSellis TDavidson SIves Z(2015)Mining Subjective Properties on the WebProceedings of the 2015 ACM SIGMOD International Conference on Management of Data10.1145/2723372.2750548(1745-1760)Online publication date: 27-May-2015
https://dl.acm.org/doi/10.1145/2723372.2750548
Quercini GReynaud CGuerrini GPaton N(2013)Entity discovery and annotation in tablesProceedings of the 16th International Conference on Extending Database Technology10.1145/2452376.2452457(693-704)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2452376.2452457
Shen WWang JLuo PWang MChen XLebanon GWang HZaki M(2012)A graph-based approach for ontology population with named entitiesProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2396807(345-354)Online publication date: 29-Oct-2012
https://dl.acm.org/doi/10.1145/2396761.2396807
Croce DFilice SBasili R(2012)Distributional models and lexical semantics in convolution kernelsProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-28604-9_28(336-348)Online publication date: 11-Mar-2012
https://dl.acm.org/doi/10.1007/978-3-642-28604-9_28
Ni YZhang LQiu ZWang C(2010)Enhancing the open-domain classification of named entity using linked open dataProceedings of the 9th international semantic web conference on The semantic web - Volume Part I10.5555/1940281.1940318(566-581)Online publication date: 7-Nov-2010
https://dl.acm.org/doi/10.5555/1940281.1940318
Ekbal ASourjikova EFrank APonzetto SLi HKumaran A(2010)Assessing the challenge of fine-grained named entity recognition and classificationProceedings of the 2010 Named Entities Workshop10.5555/1870457.1870472(93-101)Online publication date: 16-Jul-2010
https://dl.acm.org/doi/10.5555/1870457.1870472

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