Measuring Conceptual Distance Using WordNet: The Design of a Metric for Measuring Semantic Similarity*
نویسنده
چکیده
This paper describes the development of a metric for measuring the semantic distance or similarity of words using the WordNet lexical database. Such a metric could be of use in development of search engines and text retrieval systems, tasks for which the richness of natural language can cause difficulty. Further, such a metric can prove invaluable to psycholinguists who wish to study lexical semantic similarity or speech errors (specifically malapropisms).
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تاریخ انتشار 2002