Search Results for "uima"
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Showing 10 open source projects for "uima"
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This ohnlp project has released "pipelines" that were contributed by members of the OHNLP Consortium. The pipelines are based on the Apache UIMA framework. medKAT/P, MedCoref, MedTagger, MedXN, and cTAKES are licensed under Apache License V2.0. MedTime is licensed under GNU General Public License version 3.0 (GPLv3). cTAKES development has moved to apache.org. See http://ctakes.apache.org/
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The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
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TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
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A wrapper for Apache UIMA (http://incubator.apache.org/uima/) that connects to the Open Biomedical Annotator (OBA) rest service from the National Center for Biomedical Ontology (http://www.bioontology.org/wiki/index.php/Annotator_User_Guide).
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A wrapper that makes the UMLS MetaMap tool (http://mmtx.nlm.nih.gov/) available as an UIMA analysis engine.
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Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
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The UIMA Annotator (called BRUTUS - Business Rules from Unstructured Text and Unstructured Sources) is a component for the UIMA Framework that allows for capturing business knowledge formalized in Structured English syntax (based on OMG's SBVR) with MOF
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The Unstructured Information Management Architecture (UIMA) Framework is an open, scalable and extensible platform for building analytic solutions that process unstructured information to find latent meaning, relationships and relevant facts.
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The Text Annotation Environment (tae) can be used to annotate natural language text manually or automatically (UIMA Annotator) with meta information (tokens, part-of-speech, named entities, ...). Tae is based on Eclipse and IBM's UIMA.
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cafetiere
Rule-based information extraction.
UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.
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