One of the essential aspects is described of an expert system (called LEXICOGRAPHER), designed to supply the user with diverse information about Russian words, including bibliographic information concerning individual lexical entries. The lexical database of the system contains semantic information that cannot be elicited from (he existing dictionaries. TJie priority is given to semantic featur...

This paper presents the strategy and design of a highly efficient semiautomatic method for labelling the semantic features of common nouns, using semantic relationships between words, and based on the information extracted from an electronic monolingual dictionary. The method, that uses genus data, specific relators and synonymy information, obtains an accuracy of over 99% and a scope of 68,2% ...

The.authors.present.a.face.recognition.scheme.based.on.semantic.features’.extraction.from.faces.and. tensor.subspace.analysis..These.semantic.features.consist.of.eyes.and.mouth,.plus.the.region.outlined.by. three.weight.centres.of.the.edges.of.these.features..The.extracted.features.are.compared.over.images.in. tensor.subspace.domain..Singular.value.decomposition.is.used.to.solve.the.eigenvalue....

We present SENT (semantic features in text), a functional interpretation tool based on literature analysis. SENT uses Non-negative Matrix Factorization to identify topics in the scientific articles related to a collection of genes or their products, and use them to group and summarize these genes. In addition, the application allows users to rank and explore the articles that best relate to the...

One of the problems that has to be dealt with by theorists of early language acquisition theory is the mismatch between semantic constructs, like Agent, and syntactic ones, like subject. It is proposed that the linguistic system is based on semantic features that are more fine-grained than thematic roles, and that selection of subject and direct object can be accounted for by merely four semant...