GREC

Handle:	https://hdl.handle.net/21.11129/0000-000B-D4F9-D (persistent URL to this page)
URL:	http://www.nactem.ac.uk/GREC/

GREC is a semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) which is intended for training IE systems and/or resources which are used to extract events from biomedical literature.

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DistributionLicence

CC - BY - NC - SA

Restrictions: Academic - Non Commercial Use

Download location: hidden

Distribution Access/Medium: Downloadable

IPR Holder

Sophia Ananiadou

University of Manchester

Professor

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School of Computer Science

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Contact Person

Sophia Ananiadou

University of Manchester

Professor

[javascript protected email address]

School of Computer Science

[javascript protected email address]

text

Monolingual text corpusLanguages

English

Linguality

Linguality type: Monolingual

Size

240 Articles

AnnotationSemantic Annotation - Events

Segmentation level: Sentence

Format: text/plain

Semantic Annotation - Named Entities

Segmentation level: Sentence

Format: text/plain

Semantic Annotation - Named Entities

Segmentation level: Sentence

Format: text/xml

Semantic Annotation - Events

Segmentation level: Sentence

Format: text/xml

Annotation Mode: Manual

Resource Creation

Resource Creator

Paul Thompson

University of Manchester

Research Associate

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School of Computer Science

[javascript protected email address]

University of Manchester

School of Computer Science

University of Manchester

[javascript protected email address]

Metadata

Created: 11/21/2011

Last Updated: 12/13/2019

Source: METANET4U

Metadata Creator

Paul Thompson

University of Manchester

Research Associate

[javascript protected email address]

School of Computer Science

[javascript protected email address]

Usage

Foreseen UseNlp ApplicationsActual Use - Nlp Applications

Use NLP Specific: Event Extraction, Information Extraction, Named Entity Recognition

Documentation

Document Type: Other

Paul Thompson, GREC Corpus, http://www.nactem.ac.uk/meta-net/Narratives/GREC_Corpus.pdf

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