Named Entity Recognition and Classification in Galician

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Marcos Garcia
Universidade de Santiago de Compostela
Spain
Iria Gayo
Universidade de Santiago de Compostela
Spain
Isaac González López
Cilenis Language Technology
Spain
Vol 4 (2012), Pescuda
Submitted: 14-09-2012 Accepted: 14-09-2012
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Abstract

Automatic named entity recognition and classification are important tasks for many natural language processing applications, such as machine translation, information extraction or question-answering systems. This paper describes the adaptation and implementation of several open-source systems for the identification and classification of the following named entities in Galician: (i) dates, (ii) numerals, (iii) quantities and (iv) proper nouns. Analysis of the first three types of named entities is performed with the software FreeLing, using finite-state automata. For the proper noun recognition task, two methods were compared: (i) finite-state automata and (ii) machine learning models. Finally, the semantic classification of proper nouns was carried out with a rulebased system that takes advantage of automatically obtained resources. This paper shows some evaluations for each tool, all available under free licenses.

Keywords:

Natural language processing, named entity recognition and classification, Galician

Article Details

References

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