This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systematically from a subset of the English dictionary, LDOCE (Longman Dictionary of Contemporary English). Spreading activation on the network can directly compute the similarity between any two words in the Longman De ning V...

The measurement of semantic relatedness between two words is an important metric for many natural language processing applications. In this paper, we present a novel approach for measuring semantic relatedness that is based on a weighted semantic network. This approach explores the use of a lexicon, semantic relation types as weights, and word definitions as a basis to calculate semantic relate...

This study examines the relationship between two kinds of semantic spaces — i.e., spaces based on term frequency (tf) and word cooccurrence frequency (co) — and four semantic relations — i.e., synonymy, coordination, superordination, and collocation — by comparing, for each semantic relation, the performance of two semantic spaces in predicting word association. The simulation experiment demons...

Deep unsupervised hashing has been appreciated in the regime of image retrieval. However, most prior arts failed to detect semantic components and their relationships behind images, which makes them lack discriminative power. To make up defect, we propose a novel Semantic Components Hashing (DSCH), involves common sense that an normally contains bunch with homology co-occurrence relationships. ...

Automated timetabling is a research domain that has occupied many researchers over the last 50 years. Several algorithms have proven to be applicable to timetabling but they are nearly all designed to address specific problems. The framework presented in this paper is a step towards a generic semi-automatic timetabling tool. The basis of the framework is an ontology for timetabling that we desi...

The problem of the meaning of the text the end and product of speech activity, Is a central one both for theoretIcal linguistics, and for the applied fields connected with itp such as artificial intelligence, question answ6ring, man-machlne communication, etc. The meaning of the text or, speaking more technically, the semantic representation is not, as it has been considered until recently , a ...

In this paper an approach in realization of analogy-based reasoning in semantic networks is presented. New semantic model, called Active Semantic Model (ASM), was used. Core of the process is performed by ASM’s association (semantic relation) plexus upgrading procedure based on recognition and determining similarity between association plexuses. Determining similarity between association plexus...