Anatomical Entity Mention Recognition at Literature Scale
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 40100277
- Type
- D - Journal article
- DOI
-
10.1093/bioinformatics/btt580
- Title of journal
- Bioinformatics
- Article number
- -
- First page
- 868
- Volume
- 30
- Issue
- 6
- ISSN
- 1367-4803
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
A - Computer Science
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "First method to automatically recognize anatomical entity mentions in text - integrated into AnatomyTagger software, for anatomical entity mention recognition.
Keynotes at EACL Louhi workshop 2014, Science Europe 2015.
Enabled follow-on funding:
- DARPA Big Machine Science, (2015-2018, GBP678,000)
- BBSRC EMPATHY (BB/M006891/1, GBP594,000)
- MRC/EPSRC Manchester Pathology innovation centre (GBP2,400,000)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
