There are at least two kinds of similarity. Relational similarity is correspondence between relations, in contrast with attributional similarity, which is correspondence between attributes. When two words have a high degree of attributional similarity, we call them synonyms. When two pairs of words have a high degree of relational similarity, we say that their relations are analogous. For examp...

This paper describes how a concept lattice that represents semantic relations (synonymy, hyponymy, hypernymy) in a set of words can be used for semantic matching. This kind of concept lattice is the result of the formal concept analysis technique used for determining semantic relations in a set of words extracted from a monolingual dictionary. It is shown how relations between concepts can be m...

The traditional frequency based approach to creating multi-document extractive summary ranks sentences on scores computed by summing up TF*IDF weights of words contained in the sentences. In this approach, TF or term is calculated how frequently a (word) occurs input and way does not take into account semantic relations among terms. paper, we propose methods that exploits for improving sentence...

Objectives: Wernicke’s aphasia is one of the most prominent focal brain deficits affecting the comprehension abilities of patients while preserving their production abilities. Although a lot of studies in different languages have been conducted to analyze the nature of this deficit, still some controversies exist in this regard. While some research studies attribute this defect to a performance...

Semantic relations of Chinese verb-complement structure are complicated, which is difficult to analyze semantic relations in NLP. This paper proposes a novel model based on “the Feature Structure theory” and applies it in representing the semantic relations among the four components, which are subject, verb, object and complement. We annotated the fifteen types of semantic relations, and compar...

In this paper, we propose the application of Machine Learning (ML) methods to the Semantic Web (SW) as a mechanism to predict the correctness of semantic relations. For this purpose, we have acquired a learning dataset from the SW and we have performed an extensive experimental evaluation covering more than 1,800 relations of various types. We have obtained encouraging results, reaching a maxim...

the aim of this research is to study the relations between personality types (introverted and extroverted), intelligence, sexuality and semantic conditioning. for this purpose, 94 subjects were selected through systematic random sampling from among the students of the first and second semesters of psychology at islamic azad university of roudhen. eysenck personality test and raven iq test were ...