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Your search keyword '"Pustejovsky, J."' showing total 6 results
Start Over Author "Pustejovsky, J." Publisher association for computational linguistics
6 results on '"Pustejovsky, J."'

1. Annotation compatibility working group report

Author

Meyers, A., primary, Loper, E., additional, Zinsmeister, H., additional, Penn, G., additional, Xue, N., additional, Hinrichs, E., additional, Wiebe, J., additional, Pustejovsky, J., additional, Farwell, D., additional, Hajicova, E., additional, Dorr, B., additional, Fang, A. C., additional, Hovy, E., additional, Onyshkevych, B. A., additional, Levin, L., additional, Ferro, L., additional, Kübler, S., additional, Jia-Lin, T., additional, Palmer, M., additional, Poesio, M., additional, Dolbey, A., additional, and Schuler, K. K., additional

Published
2006
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2. Medstract

Author

Pustejovsky, J., primary, Castaño, J., additional, Saurí, R., additional, Rumshinsky, A., additional, Zhang, J., additional, and Luo, W., additional

Published
2002
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3. Diderot

Author

Wilks, Y., primary, Pustejovsky, J., additional, and Cowie, J., additional

Published
1994
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4. Diderot

Author

Wilks, Y., primary, Pustejovsky, J., additional, and Cowie, J., additional

Published
1993
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5. Diderot

Author

Wilks, Y., primary, Pustejovsky, J., additional, and Cowie, J., additional

Published
1992
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6. Temporal Annotation in the Clinical Domain.

Author

Styler WF 4th, Bethard S, Finan S, Palmer M, Pradhan S, de Groen PC, Erickson B, Miller T, Lin C, Savova G, and Pustejovsky J

Abstract

This article discusses the requirements of a formal specification for the annotation of temporal information in clinical narratives. We discuss the implementation and extension of ISO-TimeML for annotating a corpus of clinical notes, known as the THYME corpus. To reflect the information task and the heavily inference-based reasoning demands in the domain, a new annotation guideline has been developed, "the THYME Guidelines to ISO-TimeML (THYME-TimeML)". To clarify what relations merit annotation, we distinguish between linguistically-derived and inferentially-derived temporal orderings in the text. We also apply a top performing TempEval 2013 system against this new resource to measure the difficulty of adapting systems to the clinical domain. The corpus is available to the community and has been proposed for use in a SemEval 2015 task.

Published
2014

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