Named Entity Recognition and Classification: A Machine Learning Approach

Keywords: named entity recognition, NER, Machine Learning

http://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:linguistics_tutorials_linguistic_processing_scenarios:named_entity_recognition

This tutorial is not about using one of the existing pre-trained named entity recognizers (NERs). Instead, it tells you how to prepare training and test data and how to train a named entity recognizer. It also tells you how to perform a test and an evaluation of the so-gained NER.

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Resource details

Institution:	linguisticsweb.org
Year of publication:	2013
Language:	english
Type:	Tutorial
Audience:	linguists
Level:	basic
Prerequisites:	None
Media:	text/html
Objective:	learn to train a named entity recognizer
Licence:
Access:	open
Creation date:	Tuesday, 12 November 2013 15:47:31
Last modified:	Monday, 22 April 2024 01:30:23
BibTeX type:	@misc

BibTeX entry:

@misc(TeLeMaCo:237,
author = "",
title = "{N}amed {E}ntity {R}ecognition and {C}lassification: {A} {M}achine {L}earning {A}pproach",
year = "2013",
url = "http://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:linguistics\_tutorials\_linguistic\_processing\_scenarios:named\_entity\_recognition"
)