Named entity recognition
Named-entity recognition Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. Most research on NER systems has been structured as taking an unannotated block of text, such as this one: Jim bought 300 shares of Acme Corp. in 2006. And producing an annotated block of text that highlights the names of entities: [Jim]Person bought 300 shares of [Acme Corp.]Organization in Time. In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified.
Calais Viewer The Calais initiative is about enabling semantic applications by providing a metadata generation web service, sample applications using that service to jumpstart development efforts, and support for developers. The Calais Web Service The Calais web service automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations, etc.), facts (person "x" works for company "y"), and events (person "z" was appointed chairman of company "y" on date "x"). * The Calais Viewer works with Firefox and Internet Explorer - other browsers may yield unpredictable results
Only Thinknowlogy integrates intelligence and natural language Thinknowlogy is grammar-based software,designed to utilize Natural Laws of Intelligence in grammar,in order to create intelligence through natural language in software,which is demonstrated by: • Programming in natural language; • Reasoning in natural language: • drawing conclusions (more advanced than scientific solutions), • making assumptions (with self-adjusting level of uncertainty), • asking questions (about gaps in the knowledge), • detecting conflicts in the knowledge; • Building semantics autonomously (no vocabularies or words lists): • detecting some cases of semantic ambiguity;• Multi-grammar, proving: Natural Laws of Intelligence are universal. Thinknowlogy is open source. Mafait.org - project Thinknowlogy - Fundamentally designed Artificial Intelligence
LingPipe Home How Can We Help You? Get the latest version: Free and Paid Licenses/DownloadsLearn how to use LingPipe: Tutorials Get expert help using LingPipe: Services Join us on Facebook What is LingPipe? LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like:
GATE is... open source software capable of solving almost any text processing problema mature and extensive community of developers, users, educators, students and scientistsa defined and repeatable process for creating robust and maintainable text processing workflowsin active use for all sorts of language processing tasks and applications, including: voice of the customer; cancer research; drug research; decision support; recruitment; web mining; information extraction; semantic annotationthe result of a €multi-million R&D programme running since 1995, funded by commercial users, the EC, BBSRC, EPSRC, AHRC, JISC, etc.used by corporations, SMEs, research labs and Universities worldwidethe Eclipse of Natural Language Engineering, the Lucene of Information Extraction, the ISO 9001 of Text Mininga world-class team of language processing developers If you need to solve a problem with text analysis or human language processing you're in the right place.
Overview | People | Sponsors | Publications | Hardware Requirements | Software | Training & Sample Data AutoMap is a text mining tool developed by CASOS at Carnegie Mellon. Input: one or more unstructured texts. Output: DyNetML files and CS files. AutoMap: Project | CASOS