Finite-State Transducer Cascade to Extract Proper Names in Texts

Authors:
Nathalie Friburger;Denis Maurel
Affiliations:
-;-
Venue:
CIAA '01 Revised Papers from the 6th International Conference on Implementation and Application of Automata
Year:
2001

Citing 3
Cited 0

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Abstract

This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with them. After a finite-state pre-processing (division of the text in sentences, tagging with dictionaries, etc.), a series of finite-state transducers is applied one after the other to the text and locates left and right contexts that indicates the presence of a person name. An evaluation of the results of this extraction is presented.