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Text Machine Laboratory for Natural Language Processing

Text Machine Laboratory for Natural Language Processing. The Text Machine Lab at UMass Lowell conducts research in natural language processing. Our current projects span the following research areas:. Clinical natural language processing, including information extraction, and predictive modeling using clinical patient records. Crowdsourcing knowledge generation for text processing. Digital knowledge and sentiment tracking for digital humanities and social science. Submission deadline is September 25, 2015.

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Text Machine Laboratory for Natural Language Processing | text-machine.cs.uml.edu Reviews
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Text Machine Laboratory for Natural Language Processing. The Text Machine Lab at UMass Lowell conducts research in natural language processing. Our current projects span the following research areas:. Clinical natural language processing, including information extraction, and predictive modeling using clinical patient records. Crowdsourcing knowledge generation for text processing. Digital knowledge and sentiment tracking for digital humanities and social science. Submission deadline is September 25, 2015.
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Text Machine Laboratory for Natural Language Processing | text-machine.cs.uml.edu Reviews

https://text-machine.cs.uml.edu

Text Machine Laboratory for Natural Language Processing. The Text Machine Lab at UMass Lowell conducts research in natural language processing. Our current projects span the following research areas:. Clinical natural language processing, including information extraction, and predictive modeling using clinical patient records. Crowdsourcing knowledge generation for text processing. Digital knowledge and sentiment tracking for digital humanities and social science. Submission deadline is September 25, 2015.

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CliNER - Clinical Named Entity Recognition system

http://text-machine.cs.uml.edu/cliner

CliNER (Clinical Named Entity Recognition). Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records. CliNER is designed to follow best practices in clinical concept extraction. Free software: Apache v2.0 license. What does it mean? Just tell me what it does! Any existing annotated data may be used for training. For example, i2b2 2010 challenge data. Here is an output sample. W Boag, K...

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Text Machine Laboratory for Natural Language Processing

Text Machine Laboratory for Natural Language Processing. The Text Machine Lab at UMass Lowell conducts research in natural language processing. Our current projects span the following research areas:. Clinical natural language processing, including information extraction, and predictive modeling using clinical patient records. Crowdsourcing knowledge generation for text processing. Digital knowledge and sentiment tracking for digital humanities and social science. Submission deadline is September 25, 2015.

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