We present a new collection of training corpora for evaluation of language-independent named entity recognition systems.F or the five languages included in this initial release, Basque, Dutch, English, Korean, and Spanish, we provide an analysis of the relative difficulty of the NER task for both the language in general, and as a supervised task using these corpora.W e construct three strongly language-independent systems, each using only orthographic features, and compare their performance on both seen and unseen data.W e achieve improved results through combining these classifiers, showing that ensemble approaches are suitable when dealing with language-independent problems.
CITATION STYLE
Whitelaw, C., & Patrick, J. (2003). Evaluating corpora for named entity recognition using character-level features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2903, pp. 910–921). Springer Verlag. https://doi.org/10.1007/978-3-540-24581-0_78
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