Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping

The Leximancer system is a relatively new method for transforming lexical co-occurrence information from natural language into semantic patterns in a nunsupervised manner. It employs two stages of co-occurrence information extraction-semantic and relational-using a different algorithm for each stage...

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Vydané v:	Behavior research methods Ročník 38; číslo 2; s. 262 - 279
Hlavní autori:	Smith, Andrew E., Humphreys, Michael S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Austin, TX Psychonomic Society 01.05.2006 Psychonomic Society, Inc
Predmet:	Algorithms Automation Biological and medical sciences Collocations Comorbidity Computer Applications Computer Generated Language Analysis Concept mapping Content analysis Equipment Design Extraction Fundamental and applied biological sciences. Psychology Human subjects Humans Information retrieval Language Learning Lexical Semantics Linguistics Linguistics - instrumentation Machine Learning Mapping Miscellaneous Natural language Natural Language Processing Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Semantic Relations Semantics Statistical Analysis Concept Human Evaluation Semantics Non linear model Cognition Natural language Software Text Dynamic model Algorithm
ISSN:	1554-351X, 1554-3528
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