Difference between revisions of "Cohen Courses:Dmovshov abbreviations"
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= Identifying Abbreviations in Biomedical Text = | = Identifying Abbreviations in Biomedical Text = | ||
| + | |||
| + | == Team == | ||
| + | Dana Movshovitz-Attias | ||
| + | |||
| + | == Dataset == | ||
| + | [http://medstract.com/ MEDSTRACT] is a tool for automated extraction of acronym pairs from MEDLINE databases. | ||
| + | If includes: | ||
| + | :* [http://medstract.com/index.php?f=gold-standard Gold Standard Data]: Sentences including abbreviations. | ||
| + | :* [http://medstract.com/index.php?f=gold-result Gold Standard Results]: Pairs of abbreviation and full form name, that appear in the data. | ||
| + | |||
| + | == Related Work == | ||
| + | :* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.87.7304&rep=rep1&type=pdf A simple algorithm for identifying abbreviation definitions in biomedical text] by A. S. Schwartz and M. A. Hearst | ||
| + | :* [http://www.springerlink.com/content/8x017850p6473r82/ An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers] by Paolo Atzeni, Fabio Polticelli and Daniele Toti | ||
| + | :* [http://171.67.114.118/content/9/3/262.abstract Mapping Abbreviations to Full Forms in Biomedical Articles] by Hong Yu, George Hripcsak and Carol Friedman | ||
Revision as of 14:56, 7 September 2011
Identifying Abbreviations in Biomedical Text
Team
Dana Movshovitz-Attias
Dataset
MEDSTRACT is a tool for automated extraction of acronym pairs from MEDLINE databases. If includes:
- Gold Standard Data: Sentences including abbreviations.
- Gold Standard Results: Pairs of abbreviation and full form name, that appear in the data.
Related Work
- A simple algorithm for identifying abbreviation definitions in biomedical text by A. S. Schwartz and M. A. Hearst
- An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers by Paolo Atzeni, Fabio Polticelli and Daniele Toti
- Mapping Abbreviations to Full Forms in Biomedical Articles by Hong Yu, George Hripcsak and Carol Friedman
