Automatic extraction of microorganisms and their habitats from free text using text mining workflows
In this paper we illustrate the usage of text mining workflows to automatically extract instances of microorganisms and their habitats from free text; these entries can then be curated and added to different databases. To this end, we use a Conditional Random Field (CRF) based classifier, as part of...
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2011-06-01
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Series: | Journal of Integrative Bioinformatics |
Online Access: | https://doi.org/10.1515/jib-2011-184 |
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doaj-c8e4349176cd4e88a4983f0aa04f8b172021-09-06T19:40:31ZengDe GruyterJournal of Integrative Bioinformatics1613-45162011-06-018217618610.1515/jib-2011-184biecoll-jib-2011-184Automatic extraction of microorganisms and their habitats from free text using text mining workflowsKolluru BalaKrishna0Nakjang Sirintra1Hirt Robert P.2Wipat Anil3Ananiadou Sophia4National Centre for Text Mining, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK United Kingdom of Great Britain and Northern IrelandInstitute for Cell and Molecular Biosciences, University of Newcastle, Newcastle upon Tyne, NE2 4HH, UK United Kingdom of Great Britain and Northern IrelandInstitute for Cell and Molecular Biosciences, University of Newcastle, Newcastle upon Tyne, NE2 4HH, United Kingdom of Great Britain and Northern IrelandInstitute for Cell and Molecular Biosciences, University of Newcastle, Newcastle upon Tyne, NE2 4HH, UK United Kingdom of Great Britain and Northern IrelandNational Centre for Text Mining, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK United Kingdom of Great Britain and Northern IrelandIn this paper we illustrate the usage of text mining workflows to automatically extract instances of microorganisms and their habitats from free text; these entries can then be curated and added to different databases. To this end, we use a Conditional Random Field (CRF) based classifier, as part of the workflows, to extract the mention of microorganisms, habitats and the inter-relation between organisms and their habitats.https://doi.org/10.1515/jib-2011-184 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kolluru BalaKrishna Nakjang Sirintra Hirt Robert P. Wipat Anil Ananiadou Sophia |
spellingShingle |
Kolluru BalaKrishna Nakjang Sirintra Hirt Robert P. Wipat Anil Ananiadou Sophia Automatic extraction of microorganisms and their habitats from free text using text mining workflows Journal of Integrative Bioinformatics |
author_facet |
Kolluru BalaKrishna Nakjang Sirintra Hirt Robert P. Wipat Anil Ananiadou Sophia |
author_sort |
Kolluru BalaKrishna |
title |
Automatic extraction of microorganisms and their habitats from free text using text mining workflows |
title_short |
Automatic extraction of microorganisms and their habitats from free text using text mining workflows |
title_full |
Automatic extraction of microorganisms and their habitats from free text using text mining workflows |
title_fullStr |
Automatic extraction of microorganisms and their habitats from free text using text mining workflows |
title_full_unstemmed |
Automatic extraction of microorganisms and their habitats from free text using text mining workflows |
title_sort |
automatic extraction of microorganisms and their habitats from free text using text mining workflows |
publisher |
De Gruyter |
series |
Journal of Integrative Bioinformatics |
issn |
1613-4516 |
publishDate |
2011-06-01 |
description |
In this paper we illustrate the usage of text mining workflows to automatically extract instances of microorganisms and their habitats from free text; these entries can then be curated and added to different databases. To this end, we use a Conditional Random Field (CRF) based classifier, as part of the workflows, to extract the mention of microorganisms, habitats and the inter-relation between organisms and their habitats. |
url |
https://doi.org/10.1515/jib-2011-184 |
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1717768282739572737 |