Abstract | ||
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In Latent Semantic Analysis (LSA) the meaning of a word is represented as a vector in a high-dimensional semantic space. Different meanings of a word or different senses of a word are not distinguished. Instead, word senses are appropriately modified as the word is used in different contexts. In N-VP sentences, the precise meaning of the verb phrase depends on the noun it is combined with. An algorithm is described to adjust the meaning of a predicate as it is applied to different arguments. In forming a sentence meaning, not all features of a predicate are combined with the features of the argument, but only those that are appropriate to the argument. Hence, a different “sense” of a predicate emerges every time it is used in a different context. This predication algorithm is explored in the context of four different semantic problems: metaphor interpretation, causal inferences, similarity judgments, and homonym disambiguation. |
Year | DOI | Venue |
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2001 | 10.1016/S0364-0213(01)00034-9 | Cognitive Science |
DocType | Volume | Issue |
Journal | 25 | 2 |
ISSN | Citations | PageRank |
Cognitive Science | 21 | 3.45 |
References | Authors | |
3 | 1 |
Name | Order | Citations | PageRank |
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Walter Kintsch | 1 | 74 | 14.66 |