Abstract
We present here a practical method for adapting a NER system for Spanish to Portuguese. The method is based on training a machine learning algorithm, namely a C4.5, using internal and external features. The external features are provided by a NER system for Spanish, while the internal features are automatically extracted from the documents. The experimental results show that the method performs well in both languages Spanish and Portuguese.
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Solorio, T., López, A.L. (2005). Learning Named Entity Recognition in Portuguese from Spanish. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_85
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DOI: https://doi.org/10.1007/978-3-540-30586-6_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
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