Evaluating Information Content Methods for Semantic Similarity based on Taxonomies

Abstract excerpt

<title>Abstract</title> <p>This work presents a comparison of some of the most representative methods for computing the information content (IC) of a concept in a taxonomy. These methods can be extensional, i.e., they require external resources, or intensional, i.e., they rely only on the taxonomy. In this paper, we illustrate an experiment integrating each selected proposal into the SemSim^p method, which allows...

Topics

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• Databases, Genetic
• Genetic Predisposition to Disease
• Natural Language Processing
• Neural Networks, Computer
• Protein Interaction Maps
• Semantics
• Software
• Vocabulary, Controlled

Identifiers and source

Literature Corpus work

c85eff00-af22-57ac-bafd-82f4935793fb

DOI

10.21203/rs.3.rs-4455496/v1