Contextual correlates of synonymy
Communications of the ACM
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
A Graph Modeling of Semantic Similarity between Words
ICSC '07 Proceedings of the International Conference on Semantic Computing
Semantic text similarity using corpus-based word similarity and string similarity
ACM Transactions on Knowledge Discovery from Data (TKDD)
The Evaluation of Sentence Similarity Measures
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Wisdom of crowds versus wisdom of linguists – measuring the semantic relatedness of words
Natural Language Engineering
Text relatedness based on a word thesaurus
Journal of Artificial Intelligence Research
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There are many applications that use the semantic similarity of words to compare input to stored data, such as conversational agents. When a human thinks of a word they consider a meaning which has associated attributes and properties. Clauses allow words to combine together to form a single meaning. This fact allows words and clauses to be treated in the same way as a collection of properties expressed as words. In this paper, a novel mechanism is proposed to allow the similarity between two ideas expressed as properties to be found. An investigation using definitions as the source of information showed that the new method gives strong correlation.