Information representation methods in simple semantic networks

Visual Information in Semantic Representation

The question of how meaning might be acquired by young children and represented by adult speakers of a language is one of the most debated topics in cognitive science. Existing semantic representation models are primarily amodal based on information provided by the linguistic input despite ample evidence indicating that the cognitive system is also sensitive to perceptual information. In this w...

Thematic Representation in Simple Recurrent Networks

Introduction Simple recurrent networks (SRNs) are able to learn and represent lexical classes (Elman, 1990) and grammatical knowledge, such as agreement and argument structure (Elman, 1991), on the basis of co-occurrence regularities embedded in simple and complex sentences. In the present study, we address the question whether SRNs can represent differences in the thematic roles assigned by ve...

The Representation of Lexical Semantic Information

Using Semantic Links for Information Extraction and Semantic Representation

Ontologies and possibilities of using and enhancing them is a currently widespread research area.Widely unused are relations between concepts defined in ontologies in the context of knowledge representation. In this paper, the potential of using a semantic network to support the automatic generation of semantic structures is analysed. Semantic representations to unstructured natural language do...

Representation of Semantic Networks of Biomedical Terms

The recent technological developments in computing science and information systems are promoting innovative methods and tools of capital relevance in present biomedical research. By taking advantage of those new methods, it was possible to expand the set of well-known associations between different biomedical terms. However, biomedical knowledge is spread over multiple independent databases. Th...