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pro vyhledávání: '"Bryan Cutler"'
Publikováno v:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances.
Human-in-the-loop systems for cleaning NLP training data rely on automated sieves to isolate potentially-incorrect labels for manual review. We have developed a novel technique for flagging potentially-incorrect labels with high sensitivity in named
Publikováno v:
Proceedings of the Python in Science Conference.
Publikováno v:
CoNLL
The CoNLL-2003 corpus for English-language named entity recognition (NER) is one of the most influential corpora for NER model research. A large number of publications, including many landmark works, have used this corpus as a source of ground truth
Publikováno v:
Molecular Biology of the Cell. 9:2463-2476
A hybrid protein, tPA/GFP, consisting of rat tissue plasminogen activator (tPA) and green fluorescent protein (GFP) was expressed in PC12 cells and used to study the distribution, secretory behavior, and dynamics of secretory granules containing tPA
Autor:
Bryan Cutler, James R. Abney, Mary Kingma, Bethe A. Scalettar, Janis E. Lochner, C. Daniel Meliza
Publikováno v:
Biophysical Journal. (5):2887-2895
Secretory granules containing a hybrid protein consisting of the regulated secretory protein tissue plasminogen activator and an enhanced form of green fluorescent protein were tracked at high spatial resolution in growth cones of differentiated PC12