A rapid application development framework for rule-based named-entity extraction

Abstract

Named Entity Recognition and Classification (NERC) consist of identifying and labeling specific pieces of information like proper names from free-form textual data. There are primarily three approaches to named-entity extraction: hand-crafted rule based, machine-learning based and hybrid. Rule-based approaches consist of defining heuristics in the form of… (More)
DOI: 10.1145/1517303.1517330

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@inproceedings{Sureka2009ARA, title={A rapid application development framework for rule-based named-entity extraction}, author={Ashish Sureka and Pranav Prabhakar Mirajkar and Kishore Varma Indukuri}, booktitle={Bangalore Compute Conf.}, year={2009} }