Machine learning-based named entity recognition via effective integration of various evidences

Abstract

Named entity recognition identifies and classifies entity names in a text document into some predefined categories. It resolves the “who”, “where” and “how much” problems in information extraction and leads to the resolution of the “what” and “how” problems in further processing. This paper presents a Hidden Markov Model (HMM) and proposes a HMM-based named… (More)
DOI: 10.1017/S1351324904003559

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Cite this paper

@article{Zhou2005MachineLN, title={Machine learning-based named entity recognition via effective integration of various evidences}, author={Guodong Zhou and Jian Su}, journal={Natural Language Engineering}, year={2005}, volume={11}, pages={189-206} }