Association rules mining for name entity recognition

Indra Budi, Stéphane Bressan

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

27 Citations (Scopus)

Abstract

We propose a new name entity class extraction method based on association rules. We evaluate and compare the performance of our method with the state of the art maximum entropy method. We show that our method consistently yields a higher precision at a competitive level of recall. This result makes our method particularly suitable for tasks whose requirements emphasize the quality rather than the quantity of results.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Web Information Systems Engineering, WISE 2003
EditorsMassimo Mecella, John Mylopoulos, Maria E. Orlowska, Tiziana Catarci
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages325-328
Number of pages4
ISBN (Electronic)0769519997, 9780769519999
DOIs
Publication statusPublished - 1 Jan 2003
Event4th International Conference on Web Information Systems Engineering, WISE 2003 - Roma, Italy
Duration: 10 Dec 200312 Dec 2003

Publication series

NameProceedings - 4th International Conference on Web Information Systems Engineering, WISE 2003

Conference

Conference4th International Conference on Web Information Systems Engineering, WISE 2003
Country/TerritoryItaly
CityRoma
Period10/12/0312/12/03

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