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2018 | OriginalPaper | Buchkapitel

Portuguese Named Entity Recognition Using LSTM-CRF

verfasst von : Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares

Erschienen in: Computational Processing of the Portuguese Language

Verlag: Springer International Publishing

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Abstract

Named Entity Recognition is a challenging Natural Language Processing task for a language as rich as Portuguese. For this task, a Deep Learning architecture based on bidirectional Long Short-Term Memory with Conditional Random Fields has shown state-of-the-art performance for English, Spanish, Dutch and German languages. In this work, we evaluate this architecture and perform the tuning of hyperparameters for Portuguese corpora. The results achieve state-of-the-art performance using the optimal values for them, improving the results obtained for Portuguese language to up to 5 points in the F1 score.

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Titel: Portuguese Named Entity Recognition Using LSTM-CRF
verfasst von: Pedro Vitor Quinta de Castro
Nádia Félix Felipe da Silva
Anderson da Silva Soares
Verlag: Springer International Publishing
Buch: Computational Processing of the Portuguese Language
Print ISBN: 978-3-319-99721-6

Electronic ISBN: 978-3-319-99722-3

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-99722-3_9

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