Abstract
This paper describes and evaluates an improved and modified version of the PALAVRAS-NER parser, adapted for the HAREM joint evaluation task of Named Entity Recognition (NER) in February 2005. Apart from an extension to over 40 semantic categories, the system was changed from a lexeme-based to a token-based description, defining NER categories as functional and context-based rather than stable and lexematic. The Constraint Grammar rule body was changed accordingly, adding new rules and applying existing heuristic and disambiguation rules to contextual re-mapping of also lexically known material. In the joint evaluation, PALAVRAS-NER achieved the best overall results, achieving top ranks for both the identification, classification and morphology tasks.
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Bick, E. (2006). Functional Aspects in Portuguese NER. In: Vieira, R., Quaresma, P., Nunes, M.d.G.V., Mamede, N.J., Oliveira, C., Dias, M.C. (eds) Computational Processing of the Portuguese Language. PROPOR 2006. Lecture Notes in Computer Science(), vol 3960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751984_9
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DOI: https://doi.org/10.1007/11751984_9
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