Cross-lingual named entity disambiguation for concept translation

author: Tadej Štajner, Artificial Intelligence Laboratory, Jožef Stefan Institute
recorded by: European Commission
published: June 6, 2012,   recorded: March 2012,   views: 9371

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The talk will focus on our experience in developing an integrated natural language processing pipeline, consisting of several distinct components, operating across multiple languages. We will demonstrate a cross-language information retrieval method that enables reuse of the same language resources across languages, by using a knowledge base in one language to disambiguate named entities in text, written in another language, as developed in the Enrycher system ( We discuss the architectural implications of this ability on the development practices and its prospects as a tool for automated translation of specific concepts and phrases in a content management system.

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