What is it about?
Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea.
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Why is it important?
Our research work has revealed that appropriately analyzing the co-occurrence of words in some periods of human literature can help us to determine the semantic similarity between these words by means of computers with a high degree of accuracy.
Perspectives
This is possible through the quantitative analysis of a vast digital book collection representing the digested history of humanity.
Dr Jorge Martinez-Gil
Software Competence Center Hagenberg GmbH
Read the Original
This page is a summary of: Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery, January 2014, ACM (Association for Computing Machinery),
DOI: 10.1145/2637748.2638422.
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Resources
Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery
Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery - Preprint
Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery
Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery - Preprint
Contributors
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