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Natural Language Annotation for Machine Learning
book

Natural Language Annotation for Machine Learning

by James Pustejovsky, Amber Stubbs
October 2012
Beginner to intermediate
342 pages
9h 55m
English
O'Reilly Media, Inc.
Content preview from Natural Language Annotation for Machine Learning

Appendix B. List of Software Resources

This appendix was compiled primarily from the LRE Resource Map. Many thanks to Nicoletta Calzolari and Riccardo del Gratta for their help in creating this appendix, and for allowing us to reprint this information here.

Please note that this appendix does not represent a complete list of all the existing software for the various tasks listed here. It is intended to provide a general overview of the different tools available, to give you an idea of what resources you can use in your own annotation and machine learning (ML) tasks. For the most up-to-date list of resources, check the LRE Resource Map, or just do a web search to see what else is available.

Annotation and Adjudication Software

Multipurpose Tools

GATE

Modality: Written

Use: Corpus creation and management, automatic annotation, manual correction of annotation, part-of-speech tagging, Named Entity recognition, word sense disambiguation, etc.

Languages: Various

URL: http://gate.ac.uk/

NLTK

Modality: Written

Use: Classification, tokenization, stemming, tagging, parsing, semantic reasoning, machine learning

Languages: Various, language-independent

URL: http://nltk.org/

OpenNLP (Apache)

Modality: Written

Use: Tokenization, sentence segmentation, part-of-speech tagging, Named Entity extraction, chunking, parsing, coreference resolution

Languages: Various

URL: http://opennlp.apache.org

WordFreak

Modality: Written

Use: Hand annotation, automated annotation

Language: Language-independent

URL: http://wordfreak.sourceforge.net/ ...

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ISBN: 9781449332693Errata