Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles

Autor: K. Bretonnel Cohen, Arrick Lanfranchi, Miji Joo-young Choi, Michael Bada, William A. Baumgartner, Natalya Panteleyeva, Karin Verspoor, Martha Palmer, Lawrence E. Hunter

Publikováno v: BMC Bioinformatics, Vol 18, Iss 1, Pp 1-14 (2017)

Abstract Background Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific lit

Externí odkaz: https://doaj.org/article/808c258a08804fd3871345b137a279ca

Assessment of software testing and quality assurance in natural language processing applications and a linguistically inspired approach to improving it

Autor: Martha Palmer, Lawrence Hunter, K. Bretonnel Cohen

Publikováno v: Trust Eternal Syst Via Evol Softw Data Knowl (2012)
Trustworthy Eternal Systems via Evolving Software, Data and Knowledge ISBN: 9783642452598
EternalS@ECAI

Significant progress has been made in addressing the scientific challenges of biomedical text mining. However, the transition from a demonstration of scientific progress to the production of tools on which a broader community can rely requires that f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98002952e5b82d588b30c33ed84f86db
https://pubmed.ncbi.nlm.nih.gov/34308448

Chapter 16: text mining for translational bioinformatics.

Autor: K Bretonnel Cohen, Lawrence E Hunter

Publikováno v: PLoS Computational Biology, Vol 9, Iss 4, p e1003044 (2013)

Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinica

Externí odkaz: https://doaj.org/article/7e1cfb6eb3074cb7924dfe9a0415e1bc

MEDA 2020

Autor: K. Bretonnel Cohen, Anna Ripple, Daniela Gîfu, Youzhu Li, Jingbo Xia

Publikováno v: JCDL

The focus of the MEDA 2020 workshop is biomedical data in digital form, especially biomedical literature on the one hand, and genomic data on the other. Like in previous editions, this edition will include presentation of original work, a keynote tal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7419cac0b8a78306e508d55a947f75b3
https://doi.org/10.1145/3383583.3398505

Nominalization and alternations in biomedical language.

Autor: K Bretonnel Cohen, Martha Palmer, Lawrence Hunter

Publikováno v: PLoS ONE, Vol 3, Iss 9, p e3158 (2008)

This paper presents data on alternations in the argument structure of common domain-specific verbs and their associated verbal nominalizations in the PennBioIE corpus. Alternation is the term in theoretical linguistics for variations in the surface s

Externí odkaz: https://doaj.org/article/a873cf85e6284257b6b96042389836e5