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W. John Wilbur
Researcher at National Institutes of Health
Publications - 145
Citations - 6881
W. John Wilbur is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Sentence & Document retrieval. The author has an hindex of 39, co-authored 143 publications receiving 6366 citations. Previous affiliations of W. John Wilbur include University of Maryland, College Park.
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Journal ArticleDOI
Overview of BioCreative II gene mention recognition
Larry Smith,Lorraine K. Tanabe,Rie Johnson nee Ando,Cheng-Ju Kuo,I-Fang Chung,Chun-Nan Hsu,Yu-Shi Lin,Roman Klinger,Christoph M. Friedrich,Kuzman Ganchev,Manabu Torii,Hongfang Liu,Barry Haddow,Craig A. Struble,Richard J. Povinelli,Andreas Vlachos,William A. Baumgartner,Lawrence Hunter,Bob Carpenter,Richard Tzong-Han Tsai,Richard Tzong-Han Tsai,Hong-Jie Dai,Hong-Jie Dai,Feng Liu,Yifei Chen,Chengjie Sun,Sophia Katrenko,Pieter Adriaans,Christian Blaschke,Rafael Torres,Mariana Neves,Preslav Nakov,Preslav Nakov,Anna Divoli,Manuel Maña-López,Jacinto Mata,W. John Wilbur +36 more
TL;DR: It is demonstrated that, by combining the results from all submissions, an F score of 0.9066 is feasible, and furthermore that the best result makes use of the lowest scoring submissions.
Journal ArticleDOI
Tagging gene and protein names in biomedical text.
TL;DR: This work proposes to approach the detection of gene and protein names in scientific abstracts as part-of-speech tagging, the most basic form of linguistic corpus annotation, and demonstrates that this method can be applied to large sets of MEDLINE abstracts, without the need for special conditions or human experts to predetermine relevant subsets.
Journal ArticleDOI
The automatic identification of stop words
W. John Wilbur,Karl Sirotkin +1 more
TL;DR: It is shown how the concept of relevance may be replaced by the condition of being highly rated by a similarity measure and it becomes possible to identify the stop words in a cullectmn by automated statistical testing.
Journal ArticleDOI
GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data
Andrey Rzhetsky,Ivan Iossifov,Tomohiro Koike,Michael Krauthammer,Pauline Kra,Mitzi Morris,Hong Yu,Pablo Ariel Duboué,Wubin Weng,W. John Wilbur,Vasileios Hatzivassiloglou,Carol Friedman +11 more
TL;DR: GeneWays analyzes interactions between molecular substances, drawing on multiple sources of information to infer a consensus view of molecular networks, and is designed as an open platform, allowing researchers to query, review, and critique stored information.
Journal ArticleDOI
GENETAG: a tagged corpus for gene/protein named entity recognition.
TL;DR: The annotation of GENETAG required intricate manual judgments by annotators which hindered tagging consistency, and the data were pre-segmented into words, to provide indices supporting comparison of system responses to the "gold standard", however, character- based indices would have been more robust than word-based indices.