Zobrazeno 1 - 10
of 127
pro vyhledávání: '"K Bretonnel Cohen"'
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
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
Autor:
K Bretonnel Cohen, Lawrence Hunter
Publikováno v:
PLoS Computational Biology, Vol 4, Iss 1, p e20 (2008)
Externí odkaz:
https://doaj.org/article/97f1d884095e435086401d27d25c69f5
Publikováno v:
Computational Linguistics, Vol 37, Iss 2 (2021)
Externí odkaz:
https://doaj.org/article/210a0bbaa7084bf999592a5bbcf85da8
Publikováno v:
Trust Eternal Syst Via Evol Softw Data Knowl (2012)
Trustworthy Eternal Systems via Evolving Software, Data and Knowledge ISBN: 9783642452598
EternalS@ECAI
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
https://pubmed.ncbi.nlm.nih.gov/34308448
Autor:
Toyofumi Fujiwara, Shujiro Okuda, Yue Wang, K. Bretonnel Cohen, Tiffany J. Callahan, Jin-Dong Kim
Publikováno v:
Bioinformatics
Motivation Most currently available text mining tools share two characteristics that make them less than optimal for use by biomedical researchers: they require extensive specialist skills in natural language processing and they were built on the ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31388fd3fe80fd5400d813d535b9ba63
https://doi.org/10.1093/bioinformatics/btz227
https://doi.org/10.1093/bioinformatics/btz227
Autor:
K Bretonnel, Cohen, Jin-Dong, Kim
Publikováno v:
Proc Conf Assoc Comput Linguist Meet
SPARQL queries have become the standard for querying linked open data knowledge bases, but SPARQL query construction can be challenging and time-consuming even for experts. SPARQL query generation from natural language questions is an attractive moda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::774b88c6bc46f671205889bf1287be10
https://pubmed.ncbi.nlm.nih.gov/33100503
https://pubmed.ncbi.nlm.nih.gov/33100503
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
https://doi.org/10.1145/3383583.3398505
Autor:
K. Bretonnel Cohen, Daniela Gîfu
Publikováno v:
JCDL
This tutorial provides writing about research in data science. The focus will be on writing conference papers and journal articles. The target audience is graduate students, post-doctoral fellows, and early-career faculties. The teaching methodology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e770fcdd7fac6f4a35c57d02b2474d5
https://doi.org/10.1145/3383583.3398502
https://doi.org/10.1145/3383583.3398502
Publikováno v:
Studies in health technology and informatics. 264
"P-hacking" is the repeated analysis of data until a statistically significant result is achieved. We show that p-hacking can also occur during data generation, sometimes unintentionally. We use the type-token ratio to demonstrate that differences in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1b8c5715eca6d5d9189a4111ee7ad7dd
https://pubmed.ncbi.nlm.nih.gov/31438167
https://pubmed.ncbi.nlm.nih.gov/31438167