Showing papers on "Semantic similarity published in 1971"

Some relations between predicate calculus and semantic net representations of discourse

Abstract: Networks can be used to represent syntactic trees of the semantic relations that hold between words in sentences. They can be alternately symbolized as association lists or conjoined sets of triples. A semantic net represents a sentence as a conjoined set of binary predicates. An algorithm is presented that converts a semantic network into predicate calculus formalism. The simpler syntax of semantic network representations in contrast of ordinary predicate logic conventions is taken as an argument for their use in computational applications. Descriptive Terms: Semantic networks, Predicate logic, Natural language, Computational linguistics, Association lists.

Recall of Semantic Clusters in Primary Memory

Abstract: An experiment is reported which investigated the use of semantic relatedness as a retrieval cue in the primary memory component in a free recall task. Six-word semantically related clusters were pl...

The function of semantics in automated language processing

Abstract: This paper is a survey of some of the major semantic models that have been developed for automated semantic analysis of natural language. Current approaches to semantic analysis and logical inference are based mainly on models of human cognitive processes such as Quillian's semantic memory, Simmon's Protosynthex III and others. All existing systems and/or models, more or less experimental, were applied to a small subset of English. They are highly tentative because the definitions of semantic processes and semantically structured lexicons are not formulated rigorously. This is due mainly to the fact that it is unknown whether a unique, consistent hierarchization of the semantic features of language is possible.However, the models described are significant contributions to an unexplored field called semantics. The progressive development of a sophisticated, semantically based system for automated processing of natural language is a realistic goal. It should not be neglected, despite the fact that it is difficult to predict when this goal will be achieved.

Semantic and acoustic labeling

Abstract: Two experiments demonstrate that both semantic and acoustic labels enhance memory. Such data is in disaccord with theories that attempt to dichotomize memory in terms of differential semantic and acoustic encoding.

'Coding' in Studies of Acoustic and Semantic Interference and Confusion

Abstract: One of the main lines of evidence claimed to support a distinction between shortand long-term memory systems comes from the studies of immediate memory showing that acoustically related sequences are less well recalled than are semantically related sequences or nonrelated sequences (Baddeley, 1966a). From this evidence it is concluded that semantic coding does not occur in short-term memory. It was also concluded by Baddeley (1966b), on the basis of experiments on the effects of acoustic and semantic similarity of items on long-term retention, that acoustic coding is confined to short-term memory. Two questions arise from this type of experiment. What is meant by coding? And what conclusions about coding can be drawn from experiments on interference and confusion effects?

Semantic considerations and similarity predicates

Abstract: (1971). Semantic considerations and similarity predicates. Paper in Linguistics: Vol. 4, No. 3-4, pp. 407-420.