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NAACL
2003

Automatic Extraction of Semantic Networks from Text using Leximancer

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Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides unsupervised and supervised analysis using seeded concept classifiers. Unsupervised ontology discovery is a key component. 1 Method The strategy used for conceptual mapping of text involves abstracting families of words to thesaurus concepts. These concepts are then used to classify text at a resolution of several sentences. The resulting concept tags are indexed to provide a document exploration environment for the user. A smaller number of simple concepts can index many more complex relationships by recording co-occurrences, and complex systems approaches can be applied to these systems of agents. To achieve this, several novel algorithms were developed: a learning optimiser for automatically selecting, learning, and adapting a concept from the word usage within the text, and an asymmetric scaling process f...
Andrew E. Smith
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where NAACL
Authors Andrew E. Smith
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