HIMERA Corpus – META-SHARE

Last view: 2024-01-17

41 Last view: 2024-01-17

HIMERA Corpus

HIMERA

http://www.nactem.ac.uk/himera/index.php

The HIMERA annotated corpus contains a set of published historical medical documents that have been manually annotated with semantic information that is relevant to the study of medical history and public health. Specifically, annotations correspond to seven different entity types and two different event types (which encode relationships amongst entities), chosen based on extensive discussions with medical historians.

You don’t have the permission to edit this resource.

DistributionAvailability

Available - Restricted Use

Licence

CC - BY

Restrictions: Attribution

Distribution Access/Medium: Downloadable

Attribution Details: a) The annotations in HIMERA were created by the National Centre for Text Mining (NaCTeM), School of Computer Science, Univesity of Manchester. Please attribute NaCTeM and cite the follwing article: Paul Thompson, Riza Theresa Batista-Navarro, Georgios Kontonatsios, Jacob Carter, Elizabeth Toon, John McNaught, Carsten Timmermann, Michael Worboys and Sophia Ananiadou (2015). Text Mining the History of Medicine. PLOS ONE. b) The British Medical Journal (BMJ) kindly consented to the use of the 35 articles from the BMJ archive. c) The Wellcome Trust made available the MOH reports.

Licensors:

University of Manchester

IPR Holder

British Medical Journal

University of Manchester

Contact Person

Sophia Ananiadou

text

Monolingual text corpusLanguages

English

Linguality

Linguality type: Monolingual

Text Format

text

Size

70,000 Words

39 Articles

Character encoding

UTF - 8

Domains

Medical History

Modalities

Written Language

Classification

Text type: Medical professional articles/public health report

Text genre: Published text

AnnotationSemantic Annotation - Events

Tagset: Custom Tagset described in manual (English)

StandOff: True

Segmentation level: Sentence

Format: BioNLP 2013 Shared Task Format

Annotation Mode: Manual

Annotation Tools:

http://brat.nlplab.org/

Semantic Annotation - Named Entities

Tagset: Custom tagset described in manual (English)

StandOff: True

Format: BioNLP 2013 format

Annotation Mode: Manual

Interannotator Agreement: 0.8 F-Score (exact) / 0.86 F-Score (relaxed)

Time Coverage

1840 - 2013

Geographic coverage

UK

Creation

Creation mode: Manual

Original Sources

British Medical Journal
London area Medical Officer of Health Reports

Resource Creation

Resource Creator

University of Manchester

Funding Project

Mining the History of Medicine (MHM)

URL: http://www.nactem.ac...

Funding Type: National Funds

Funder: AHRC

Funding Country: United Kingdom

Project duration: 01/01/2014 - 31/03/2015

Metadata

Created: 13/10/2015

Last Updated: 13/10/2015

Metadata Language: English (en)

Metadata Creator

Version

Version: 1.0

Last Updated: 13/10/2015

Usage

Foreseen UseNlp Applications

Use NLP Specific: Annotation, Event Extraction, Language Modelling, Named Entity Recognition, Text Mining

Actual Use - Nlp Applications

Use NLP Specific: Event Extraction, Named Entity Recognition

Derived Resources

http://www.nactem.ac...

Used in

Mining the History of Medicine (MHM)

URL: http://www.nactem.ac...

Funding Type: National Funds

Funder: AHRC

Funding Country: United Kingdom

Project duration: 01/01/2014 - 31/03/2015

Documentation

Tool Documentation: Manual

Document Type: Manual

Paul Thompson, HIMERA, http://www.nactem.ac...

People who looked at this resource also viewed the following:

Resources from the same creators