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| Titel: |
Modelling Parsing Constraints with High-dimensional Context Space |
| Auteur: |
Burgess, Curt Lund, Kevin |
| Verschenen in: |
Language & cognitive processes |
| Paginering: | Jaargang 12 (1997) nr. 2-3 pagina's 177-210 |
| Jaar: |
1997-03-01 |
| Inhoud: |
Deriving representations of meaning has been a long-standing problem in cognitive psychology and psycholinguistics. The lack of a m odel for representing semantic and grammatical knowledge has been a handicap in attempting to model the effects of semantic constraints in hum an syntactic processing. A computational model of high-dim ensional context space, the Hyperspace A nalogue to Language (H AL), is presented with a series of simulations modelling a variety of human empirical results. HAL learns its representations from the unsupervised processing of 300 million words of conversational text. W e propose that HAL's high-dim ensional context space can be used to (1) provide a basic categorisation of semantic and grammatical concepts, (2) model certain aspects of morphological ambiguity in verbs, and (3) provide an account of semantic context effects in syntactic processing. W e propose that the distributed and contextually derived representations that HAL acquires provide a basis for the subconceptual knowledge that can be used in accounting for a diverse set of cognitive phenomena. |
| Uitgever: |
Psychology Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 12 van 24 gevonden artikelen
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