January 1, 2002Open Access

Named Entity Extraction using AdaBoost

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Resumen

This paper presents a Named Entity Extraction (NEE) system for the CoNLL 2002 competition. The two main sub-tasks of the problem, recognition (NER) and classification (NEC), are performed sequentially and independently with separate modules. Both modules are machine learning based systems, which make use of binary AdaBoost classifiers.

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Carreras et al. (Tue,) studied this question.

synapsesocial.com/papers/6a0ede4ac12540356222bdca https://doi.org/https://doi.org/10.3115/1118853.1118857

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