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Concept Index
Adding features to the classifier.
:
Feature Expansion
An explanation of each component in AFNER.
:
Components
Description of the main C++ functions.
:
API
Diagram of classes.
:
Class Structure
FeatureValue Class Description
:
Class Structure
FeatureValueExtractor Class Description
:
Class Structure
FeatureVectorValueExtractor Class Description
:
Class Structure
Further information.
:
Notes
Generating training data.
:
Training
How to run AFNER independently.
:
Running AFNER
Information on named entity tags.
:
Entity Tagset
Information on regular expression matching.
:
Regular Expression Handler
Information on the classifier.
:
Classifier
List checking method description.
:
Lists
List checking method description.
:
List Handler
List of features implemented.
:
Features
MaxEnt Class Description
:
Class Structure
NamedEntity Class Description
:
Class Structure
NEDeco Class Description
:
Class Structure
NEToken Class Description
:
Class Structure
Other Functions
:
Class Structure
Overview of AFNER.
:
Overview
Overview of regular expressions used in AFNER.
:
Regular Expression Handler
Running the recogniser without machine learning.
:
Without Classification
Running the recogniser.
:
Testing
Sample output.
:
Output
SuffixTree Information.
:
SuffixTree
Token Class Description
:
Class Structure
Tokenisation method description.
:
Tokeniser
Table of Contents
1 Overview
2 Running AFNER
2.1 Program Options
2.1.1 Common Options
2.1.2 Testing (mode
--run
)
2.1.3 Training (mode
--train
)
2.1.4 Dumping (mode
--dump
)
2.1.5 Counting (mode
--count
)
2.2 Run Mode
2.3 Train Mode
2.4 Dump Mode
2.5 Count Mode
2.6 Evaluating the Results
3 Components
3.1 Entity Tagset
3.2 Regular Expression Handler
3.2.1 Regular Expressions in AFNER
3.3 Tokeniser
3.4 List Handler
3.4.1 Lists
3.4.2 SuffixTree
3.5 Classifier
3.5.1 Features
4 Output
5 API
5.1 Using AFNER C++ Functions
6 Class Structure
6.1 Training
6.2 Testing
6.3 Without Classification
6.4 Feature Expansion
7 Notes
Concept Index