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.
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.
UIMA solution for analysing web-server logs, that does things like analyze the user behavioral patterns in the channels followed by users from the log files, report current and the past behaviour of the visitors in selfservice systems.
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
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.
A web-based repository for UIMA-compliant information analysis components, with a web-based interface for humans and a plugin interface for IDEs. More information is available at this project's website.
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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