Search Results for "uima"

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/

WebCorpus is a Hadoop-based framework that enables you to calculate statistics on large web corpora extracted from web crawls.

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.

Assertion classification system. This is available as a UIMA analysis engine that plugs into cTAKES.

It is a system using the apache uima structure to find out the relevant answers to a questions in the form of paragraphs from the knowledge base. The searching is done with the help of Solr which finds the relevant documents and returns them. From among the returned documents the relevant documents are found out of which again the relevant paragraphs are extracted. These paragraphs are assigned a score based on the occurrence of keywords from the query and the top three paragraphs are returned to the user.

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.

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).

A wrapper that makes the UMLS MetaMap tool (http://mmtx.nlm.nih.gov/) available as an UIMA analysis engine.

SALaMy (Semantic Argument Labelling using Maximum Entropy) is a Semantic Role Labelling project using the Apache UIMA framework. Semantic arguments are labelled based on the Maximum Entropy paradigm.

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.

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.

a project concerning uima and other language tools. not for open source use.

cTAKES is a system for annotating clinical documents, built on the Apache UIMA framework . cTAKES development has moved to apache.org. Please see http:/ctakes.apache.org

UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.