R. Kazman. Simulating the child's acquisition of the lexicon and syntax - experiences with Babel. Machine Learning, 16:87--120, 1994. Home/Search Document Details and Download
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Automatic Acquisition and Efficient Representation of.. - Solan, Ruppin, Horn (2003) (Correct)
....of syntactic knowledge are sharply divided into two classes, depending on whether they subscribe to some variant of the classical generative theory of syntax, or operate within the framework of general purpose statistical or distributional learning. An example of the former is the model of [2], which attempts to learn syntactic structures such as Functional Category, as stipulated by the Government and Binding theory. An example of the latter model is Elman s widely used Simple Recursive Network (SRN) 3] We believe that polarization between statistical and classical (generative, ....
R. Kazman. Simulating the child's acquisition of the lexicon and syntax - experiences with Babel. Machine Learning, 16:87--120, 1994.
Rapid Grammar Development and Parsing: Constraint Dependency.. - White (2000) (2 citations) (Correct)
.... 82] bounding the number of symbols allowed on the right hand side of production rules [90, 94, 95, 96] and using an X bar grammar with a fixed level of barred categories allowed [94] Another way in which previous efforts have bounded search is by applying knowledge to prune unpromising avenues [66, 75, 97]. Instead of learning directly from sentences, researchers have designed systems that use informant or supervised learning techniques. One such system developed by Simmons and Yu [40] learns to parse using context sensitive rules by incorporating the shift reduce parsing rules provided by a ....
Rick Kazman. Simulating the child's acquisition of the lexicon and syntax -- Experiences with Babel. Machine Learning, 16:87--120, 1994.
Corpus-Based Lexical Acquisition For Semantic Parsing - Thompson (1996) (Correct)
....and the lexicon. There are several systems which focus on syntax or morphology as opposed to semantics. Grimshaw (1981) discusses the learning of both subcategorization and selection restrictions of words, but not how to infer the semantic meanings of words, for example, that move means ptrans. Kazman (1994) integrates lexical and syntax learning, but the lexical entries learned are not semantic, but morphological in nature. Wolff (1987) and Langley (1994) describe a system which learns grammars and syntactic word classes. Like Wolfie, several systems restrict themselves to learning only semantics. ....
Kazman, R. (1994). Simulating the child's acquisition of the lexicon and syntax-experiences with Babel. Machine Learning, 16, 87--120.
Rapid Grammar Developement And Parsing Of Constraint Dependency.. - White (1998) (Correct)
.... the number of symbols allowed on the right hand side of production rules [63, 67, 68, 69] and using an X bar grammar with a fixed level of barred categories allowed [67] Another 42 way in which previous efforts have bounded search is by applying knowledge to prune unpromising avenues [40, 49, 70]. Some researchers have chosen to forgo the idea of learning directly from sentences and have instead designed systems that use informant or supervised learning techniques. One such system developed by Simmons and Yu [57] learns to parse using context sensitive rules by incorporating the ....
R. Kazman. Simulating the child's acquisition of the lexicon and syntax -- experiences with Babel. Machine Learning, 16:87--120, 1994.
Learning Feature-Value Grammars from Plain Text - Smith (Correct)
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Rick Kazman. Simulating the child's acquisition of the lexicon and syntax---experiences with babel. Machine Learning, 16:87--120, 1994.
Learning Feature-Value Grammars from Plain Text - Smith (1998) (Correct)
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Rick Kazman. Simulating the child's acquisition of the lexicon and syntax---experiences with babel. Machine Learning, 16:87--120, 1994.
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