Computer Science Carnegie Mellon University / Language Technologies Institute Institute / Machine Learning Department Carnegie Mellon University / /
IndustryTerm
post-processing step / markov networks / pre-processing step / text-mining applications / baseline systems / text-mining systems / perceptron algorithms / named entity recognition systems / /
Organization
National Institute of Health / Defense Advanced Research Projects Agency / Language Technologies Institute Institute for Software Research International / Carnegie Mellon University / Univ. of Sheffield / William W. Cohen CMU-LTI-08-004 Language Technologies Institute School / Interior-National Business Center / /
Person
Robert E. Frederking / Robert F. Murphy / Katrin Fundel / Daniel Hanisch / Raymond J. Mooney / Aaron M. Cohen / Arun Kumar Ramani / Rohit J. Kate / Alexander Morgan / Ralf Zimmer / Theodor Mevissen / Richard C. Wang / Vladimir I. Levenshtein / Johan Kumlien / Claire Grover / Joakim Cöster / Fredrik Olsson / William W. Cohen / Lynette Hirschman / Edward M. Marcotte / William W. Cohen Learning / Lars Asker / Marc Colosimo / Juliane Fluck / Isaac Simmons / Malvina Nissim / Alfonso Valencia / Christian Blaschke / Ben Hachey / Anthony Tomasic / Gunnar Erksson / Mark Craven / Alexander Yeh / Bea Alex / /
Position
extractor / high-recall gene-protein name extractor / VP-HMM extractor / author / Mouse Dataset Extractor / high-recall and medium-precision extractor / geneprotein name extractor / /
Product
Minorthird / tuning data weak-train / F1 / /
ProvinceOrState
Virginia / Pennsylvania / /
PublishedMedium
Machine Learning / Molecular Biology / /
Technology
bioinformatics / sliding windows / cell signaling / Machine Learning / 1 2 Language Technologies / Natural Language Processing / 004 Language Technologies / machine learning system / perceptron algorithms / /
Learning to Extract Gene-Protein Names from Weakly-Labeled Text Richard C. Wang, Anthony Tomasic, Robert E. Frederking, Isaac Simmons, William W. Cohen CMU-LTI[removed]