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Association rules mining for name entity recognition

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2 Author(s)
I. Budi ; Comput. Sci. Fac., Indonesia Univ., Jakarta, Indonesia ; S. Bressan

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.

Published in:

Web Information Systems Engineering, 2003. WISE 2003. Proceedings of the Fourth International Conference on

Date of Conference:

10-12 Dec. 2003