Abstract
This paper presents the evaluation of NERP-CRF, a Conditional Random Fields (CRF) based tool for Portuguese Named Entities Recognition (NER) against other publicly available NER tools. The presented evaluation is based on the comparison with three other NER tools for Portuguese. The comparison is made observing Recall and Precision measures obtained by each tool over the HAREM corpus, a golden standard for NER for Portuguese texts. The experiments were initially conducted considering ten categories and then, considering a reduced number of categories. The results show that NERP CRF outperforms the others tools when sufficiently trained for four entity categories.
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do Amaral, D.O.F., Fonseca, E., Lopes, L., Vieira, R. (2014). Comparing NERP-CRF with Publicly Available Portuguese Named Entities Recognition Tools. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds) Computational Processing of the Portuguese Language. PROPOR 2014. Lecture Notes in Computer Science(), vol 8775. Springer, Cham. https://doi.org/10.1007/978-3-319-09761-9_27
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DOI: https://doi.org/10.1007/978-3-319-09761-9_27
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