Jeffrey Mark Siskind. Acquiring core meanings of words, represented as Jackendoff-style conceptual structures, from correlated streams of linguistic and non-linguistic input. In Proceedings of the 28 th Annual Meeting of the Association for Computational Linguistics, pages 143--156, University of Pittsburgh, Pittsburgh, PA, June 1990. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Computational Models for Integrating Linguistic and Visual.. - Srihari (1995) (12 citations) (Correct)
....language descriptions of visual data. ffl Enforcing uniform word meanings across language processing and vision systems. Integrated language vision knowledge bases would also facilitate automatic learning of new linguistic concepts (i.e. words) and new visual concepts (i.e. object schemas) Sis90] reports on preliminary attempts to design a system which learns the meaning of new words. It takes as input both linguistic input, expressed as a set of sentences, and visual input, expressed as a sequence of conceptual structures describing visual scenes. The system produces a lexicon as output ....
Jeffrey Mark Siskind. Acquiring Core Meanings of Words, Represented as Jackendoff-Style Conceptual Structures, from Correlated Streams of Linguistic and Non-Linguistic Input. In Proceedings of the 28th Annual Meeting of the Association for Computational Linguistics, pages 143--156, 1990.
Issues of Semantics in a Semantic-Network Representation of Belief - Hill (1994) (1 citation) (Correct)
....syntactic and or semantic. A modern exemplar is Jeffrey Siskind, who presents an operational system that acquires some semantics along with syntax, building structures embodying restricted word meanings from a stream of both linguistic and restricted empirical input, both in symbolic form [Siskind, 1990]. This type of study is complementary, rather than parallel, to the present concern. 1.4 Some Specific Motivational Questions Suppose we intend to use a knowledge representation and reasoning system such as SNePS to model the mind of a cognitive agent, as in [Shapiro and Rapaport, 1987] ....
Jeffrey Mark Siskind. Acquiring core meanings of words, represented as jackendoffstyle conceptual structures, from correlated streams of linguistic and non-linguistic input. In Proceedings of the 28th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 1990.
Screaming Yellow Zonkers - Siskind (1991) (1 citation) Self-citation (Siskind) (Correct)
No context found.
Jeffrey Mark Siskind. Acquiring core meanings of words, represented as Jackendoff-style conceptual structures, from correlated streams of linguistic and non-linguistic input. In Proceedings of the 28 th Annual Meeting of the Association for Computational Linguistics, pages 143--156, University of Pittsburgh, Pittsburgh, PA, June 1990.
Naive Physics, Event Perception, Lexical Semantics, and Language.. - Siskind (1991) (3 citations) Self-citation (Siskind) (Correct)
No context found.
Jeffrey Mark Siskind. Acquiring core meanings of words, represented as Jackendoff-style conceptual structures, from correlated streams of linguistic and non-linguistic input. In Proceedings of the 28 th Annual Meeting of the Association for Computational Linguistics, pages 143--156, University of Pittsburgh, Pittsburgh, PA, June 1990.
Screaming Yellow Zonkers - Siskind (1991) (1 citation) Self-citation (Siskind) (Correct)
No context found.
Jeffrey Mark Siskind. Acquiring core meanings of words, represented as Jackendoff-style conceptual structures, from correlated streams of linguistic and non-linguistic input. In Proceedings of the 28 th Annual Meeting of the Association for Computational Linguistics, pages 143--156, University of Pittsburgh, Pittsburgh, PA, June 1990.
Lexical Acquisition as Constraint Satisfaction - Siskind (1993) (2 citations) Self-citation (Siskind) (Correct)
No context found.
Jeffrey Mark Siskind. Acquiring core meanings of words, represented as Jackendoff-style conceptual structures, from correlated streams of linguistic and non-linguistic input. In Proceedings of the 28 th Annual Meeting of the Association for Computational Linguistics, pages 143--156, University of Pittsburgh, Pittsburgh, PA, June 1990.
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