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Feature selection for automatic taxonomy induction

Published: 19 July 2009 Publication History

Abstract

Most existing automatic taxonomy induction systems exploit one or more features to induce a taxonomy; nevertheless there is no systematic study examining which are the best features for the task under various conditions. This paper studies the impact of using different features on taxonomy induction for different types of relations and for terms at different abstraction levels. The evaluation shows that different conditions need different technologies or different combination of the technologies. In particular, co-occurrence and lexico-syntactic patterns are good features for is-a, sibling and part-of relations; contextual, co-occurrence, patterns, and syntactic features work well for concrete terms; co-occurrence works well for abstract terms.

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Cited By

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  • (2020)Expanding Taxonomies with Implicit Edge SemanticsProceedings of The Web Conference 202010.1145/3366423.3380271(2044-2054)Online publication date: 20-Apr-2020
  • (2018)Enriching Taxonomies With Functional Domain KnowledgeThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210000(745-754)Online publication date: 27-Jun-2018
  • (2013)Topic hierarchy construction for the organization of multi-source user generated contentsProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484032(233-242)Online publication date: 28-Jul-2013

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cover image ACM Conferences
SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
July 2009
896 pages
ISBN:9781605584836
DOI:10.1145/1571941

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2009

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Author Tags

  1. ontology learning
  2. semantic features
  3. taxonomy

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2020)Expanding Taxonomies with Implicit Edge SemanticsProceedings of The Web Conference 202010.1145/3366423.3380271(2044-2054)Online publication date: 20-Apr-2020
  • (2018)Enriching Taxonomies With Functional Domain KnowledgeThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210000(745-754)Online publication date: 27-Jun-2018
  • (2013)Topic hierarchy construction for the organization of multi-source user generated contentsProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484032(233-242)Online publication date: 28-Jul-2013

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