Measuring semantic relatedness is a critical task in many domains such as psychology,
biology, linguistics, cognitive science and artificial intelligence. In this paper, we propose a …

Semantic relatedness assessment between concepts is a critical issue in many domains
such as artificial intelligence, information retrieval, psychology, biology, linguistics and …

The measurement of the semantic relatedness between words has gained increasing
interest in several research fields, including cognitive science, artificial intelligence, biology …

Abstract Computing Semantic Similarity (SS) between concepts is one of the most critical
issues in many domains such as Natural Language Processing and Artificial Intelligence …

Semantic similarity assessment between concepts is an important task in many language
related applications. In the past, several approaches to assess similarity by evaluating the …

Computing semantic relatedness of natural language texts requires access to vast amounts
of common-sense and domain-specific world knowledge. We propose Explicit Semantic …

Wikipedia provides a huge collaboratively made semi-structured taxonomy called Wikipedia
category graph (WCG), which can be utilized as a Knowledge Graph (KG) to measure the …

The measurement of semantic similarity between concepts is an important research topic in
natural language processing. In the past, several approaches for measuring the semantic …

We introduce Wiktionary as an emerging lexical semantic resource that can be used as a
substitute for expert-made resources in AI applications. We evaluate Wiktionary on the …

Abstract The Information Content (IC) of a concept is a fundamental dimension in
computational linguistics. It enables a better understanding of concept's semantics. In the …