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LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts
SUMMARY: LexExp is an open-source, data-centric lexicon expansion system that generates spelling variants of lexical expressions in a lexicon using a phrase embedding model, lexical similarity-based natural language processing methods and a set of tunable threshold decay functions. The system is cus...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388038/ https://www.ncbi.nlm.nih.gov/pubmed/33244602 http://dx.doi.org/10.1093/bioinformatics/btaa995 |
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author | Sarker, Abeed |
author_facet | Sarker, Abeed |
author_sort | Sarker, Abeed |
collection | PubMed |
description | SUMMARY: LexExp is an open-source, data-centric lexicon expansion system that generates spelling variants of lexical expressions in a lexicon using a phrase embedding model, lexical similarity-based natural language processing methods and a set of tunable threshold decay functions. The system is customizable, can be optimized for recall or precision and can generate variants for multi-word expressions. AVAILABILITY AND IMPLEMENTATION: Code available at: https://bitbucket.org/asarker/lexexp; data and resources available at: https://sarkerlab.org/lexexp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8388038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83880382021-08-26 LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts Sarker, Abeed Bioinformatics Applications Notes SUMMARY: LexExp is an open-source, data-centric lexicon expansion system that generates spelling variants of lexical expressions in a lexicon using a phrase embedding model, lexical similarity-based natural language processing methods and a set of tunable threshold decay functions. The system is customizable, can be optimized for recall or precision and can generate variants for multi-word expressions. AVAILABILITY AND IMPLEMENTATION: Code available at: https://bitbucket.org/asarker/lexexp; data and resources available at: https://sarkerlab.org/lexexp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-11-27 /pmc/articles/PMC8388038/ /pubmed/33244602 http://dx.doi.org/10.1093/bioinformatics/btaa995 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Sarker, Abeed LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts |
title | LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts |
title_full | LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts |
title_fullStr | LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts |
title_full_unstemmed | LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts |
title_short | LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts |
title_sort | lexexp: a system for automatically expanding concept lexicons for noisy biomedical texts |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388038/ https://www.ncbi.nlm.nih.gov/pubmed/33244602 http://dx.doi.org/10.1093/bioinformatics/btaa995 |
work_keys_str_mv | AT sarkerabeed lexexpasystemforautomaticallyexpandingconceptlexiconsfornoisybiomedicaltexts |