UIMA/U-Compare GENIA Tagger

Handle:	https://hdl.handle.net/21.11129/0000-000B-D331-F (persistent URL to this page)
URL:	http://www.nactem.ac.uk/ucompare/

The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.

The tool is provided as a UIMA component, which forms part of the in-built library of components provided with the U-Compare platform (see separate META-SHARE record) for building and evaluating text mining workflows. The U-Compare Workbench (see separate META-SHARE record) provides a graphical drag-and drop interface for the rapid creation of workflows.

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DistributionLicence

Proprietary

Restrictions: Commercial Use

User Nature: Commercial

Download location: hidden

Distribution Access/Medium: Downloadable

Attribution Details: Tsuruoka, Y., Tateisi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S. and Tsujii, J.. (2005). Developing a Robust Part-of-Speech Tagger for Biomedical Text. Advances in Informatics - 10th Panhellenic Conference on Informatics, pp 382--392, Springer-Verlag

Licensors:

University of Manchester

School of Computer Science

University of Manchester

[javascript protected email address]

Distribution rights holders:

Sophia Ananiadou

University of Manchester

Professor

[javascript protected email address]

School of Computer Science

[javascript protected email address]

Proprietary

Restrictions: Academic - Non Commercial Use, Attribution, No Derivatives, No Redistribution

User Nature: Academic

Download location: hidden

Distribution Access/Medium: Downloadable

Licensors:

University of Manchester

School of Computer Science

University of Manchester

[javascript protected email address]

Distribution rights holders:

University of Manchester

School of Computer Science

University of Manchester

[javascript protected email address]

IPR Holder

University of Manchester

School of Computer Science

University of Manchester

[javascript protected email address]

Contact Person

Sophia Ananiadou

University of Manchester

Professor

[javascript protected email address]

School of Computer Science

[javascript protected email address]

Tool/Service

Tool

Language Dependent

Input

Media type: Text

Resource type: Corpus

Modality: Written Language

Language: English

Character encoding: UTF - 8

Annotation type: Structural Annotation

Segmentation level: Sentence, Word

Output

Media type: Text

Resource type: Corpus

Modality: Written Language

Language: English

Character encoding: UTF - 8

Annotation type: Lemmatization, Morphosyntactic Annotation - Pos Tagging, Semantic Annotation - Named Entities, Syntactic Annotation - Shallow Parsing

Segmentation level: Word

Operation

Operating system: Os - Independent

Metadata

Created: 11/19/2012

Last Updated: 12/11/2015

Metadata Creator

Paul Thompson

University of Manchester

Research Associate

[javascript protected email address]

School of Computer Science

[javascript protected email address]

Usage

Access tools

U-Compare Workbench

Associated resources

U-Compare Workbench

Foreseen UseNlp Applications

Use NLP Specific: Information Extraction, Lemmatization, Morphological Analysis, Morphosyntactic Tagging, Named Entity Recognition, Parsing, Pos Tagging, Text Mining

Actual Use - Nlp Applications

Use NLP Specific: Information Extraction, Lemmatization, Morphological Analysis, Morphosyntactic Tagging, Named Entity Recognition, Parsing, Pos Tagging, Text Mining

Documentation

Document Type: Other

Paul Thompson, UIMA/U-Compare GENIA Tagger, http://www.nactem.ac.uk/meta-net/Narratives/U-Compare-GENIA-Tagger.pdf

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