Word Association Spaces 1 Running Head: Word Association Spaces Semantic Spaces based on Free Association that Predict Memory Performance
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Exploring the Relationship between Semantic Spaces and Semantic Relations
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...
متن کاملSemantic Spaces based on Free Association that Predict Memory Performance
Many memory models represent aspects of words such as meaning by vectors of feature values, such that words with similar meanings are placed in similar regions of the semantic space whose dimensions are defined by the vector positions. Methods for constructing such spaces include those based on scaling similarity ratings for pairs of words, and those based on the analysis of co-occurrence stati...
متن کاملModeling Semantic and Orthographic Similarity Effects on Memory for Individual Words
Many memory models assume that the semantic and physical features of words can be represented by collections of features abstractly represented by vectors. Most of these memory models are process oriented; they explicate the processes that operate on memory representations without explicating the origin of the representations themselves; the different attributes of words are typically represent...
متن کاملA predictive framework for evaluating models of semantic organization in free recall.
Research in free recall has demonstrated that semantic associations reliably influence the organization of search through episodic memory. However, the specific structure of these associations and the mechanisms by which they influence memory search remain unclear. We introduce a likelihood-based model-comparison technique, which embeds a model of semantic structure within the context maintenan...
متن کاملTopics in semantic association
Learning and using language requires retrieving concepts from memory in response to an ongoing stream of information. The human memory system solves this problem by using the gist of a sentence, conversation, or document to predict related concepts and disambiguate words. Two approaches to representing gist have dominated research on semantic representation: semantic networks and semantic space...
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