Named Entity Recognition
and Classification
90
Fabian M. Suchanek
Semantic IE
You
are
here
2
Source Selection and Preparation
Entity Recognition
Entity Disambiguation
singer
Fact Extraction
KB
Construction
Entity Typing
singer Elvis
Overview
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Introduction:
•
Named Entity Recognition and Classification (NERC)
•
NERC Features
Methods:
•
NERC by rules
(no training)
•
NERC by Classification
(with training)
•
NERC by Conditional Random Fields
(with training)
•
NERC by Deep Learning
(with training)
Summary
Def: NE Recognition & Classification
Given a corpus, and given a set of classes,
Named Entity Recognition and
Classification
(NERC) is the task of (1) finding entity names in the corpus
and (2) annotating each name with a class.
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(NERC is often called simply “Named Entity Recognition”. We use “Named Entity Recognition and Classification”
here to distinguish it from bare NER.)
The Enlightenment was a philosophical movement
in Europe between 1650 and 1800, driven by
Denis Diderot with his “Encyclopédie”, David Hume,
Montesquieu, Voltaire, John Locke, and others.
Wikipedia: Enlightenment
[Theobald von Oer]