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GATE, A General Architecture for Text Engineering - 0 views

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    GATE is... * the Eclipse of Natural Language Engineering, the Lucene of Information Extraction, a leading toolkit for Text Mining * used worldwide by thousands of scientists, companies, teachers and students * comprised of an architecture, a free open source framework (or SDK) and graphical development environment * used for all sorts of language processing tasks, including Information Extraction in many languages * funded by the EPSRC, BBSRC, AHRC, the EU and commercial users * 100% Java reference implementation of ISO TC37/SC4 and used with XCES in the ANC * 10 years old in 2005, used in many research projects and compatible with IBM's UIMA * based on MVC, mobile code, continuous integration, and test-driven development, with code hosted on SourceForge
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CoW, a Controllable Wiki: Overview - 0 views

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    CoW is a "Controllable Wiki" and CMS that supports collaborative document creation with asynchonous off-line editing. CoW is desiged to make it easy to add interaction to static websites, and to support concurrent editing and off-line working with straightforward synchronisation (using Subversion). The system also serves as a test-bed for experiments in controlled languages for round-trip ontology engineering (from the GATE project: http://gate.ac.uk/).
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Amazon.com: Building Search Applications: Lucene, Lingpipe, and Gate: Manu Konchady: Books - 0 views

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    Building Search Applications: Lucene, Lingpipe, and Gate (Paperback)
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Mustru: Question & Answer Search Engine - 0 views

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    Mustru is a desktop search engine written in Java using Lucene, Lingpipe, and the Berkeley DB . Create an index from a set of directories on your local filesystem and use the Web based interface to query the index. Submit questions in natural language or boolean queries using keywords.
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KIM Platform - 0 views

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    KIM is a software platform for: * Semantic annotation of text At more length: automatic ontology population and open-domain dynamic semantic annotation of unstructured and semi-structured content for Semantic Web and KM applications * Indexing and retrieval (semantically-enabled and IE-enhanced search technology) * Query and exploration of formal knowledge * Co-occurrence tracking and ranking of entities * Entity popularity timelines analysis
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