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Intuitions and Illusions:From Explanation and Experiment to Assessment
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A Question of Irresponsibility: Postal, Chomsky, and Gödel
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In: Biolinguistics, Vol 3, Iss 1, Pp 099-103 (2008) (2008)
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A New Statistical Parser Based on Bigram Lexical Dependencies
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In: http://nlp.postech.ac.kr/~jwcha/papers/others/Syn/collins96-acl.ps.gz (1996)
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Abstract:
This paper describes a new statistical parser which is based on probabilities of dependencies between head-words in the parse tree. Standard bigram probability estimation techniques are extended to calculate probabilities of dependencies between pairs of words. Tests using Wall Street Journal data show that the method performs at least as well as SPATTER (Magerman 95; Jelinek et al. 94), which has the best published results for a statistical parser on this task. The simplicity of the approach means the model trains on 40,000 sentences in under 15 minutes. With a beam search strategy parsing speed can be improved to over 200 sentences a minute with negligible loss in accuracy.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.3964 http://nlp.postech.ac.kr/~jwcha/papers/others/Syn/collins96-acl.ps.gz
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A New Statistical Parser Based on Bigram Lexical Dependencies
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In: http://www.ling.ohio-state.edu/~cbrew/papers/collins-acl96.ps.gz (1996)
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A New Statistical Parser Based on Bigram Lexical Dependencies
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In: http://acl.ldc.upenn.edu/P/P96/P96-1025.pdf (1996)
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6 |
Syntax, More or Less
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In: http://mind.oxfordjournals.org/cgi/reprint/116/464/805.pdf
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Why We Still Need Knowledge of Language1
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In: http://philpapers.org/archive/SMIWWS/
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8 |
A New Statistical Parser Based on Bigram Lexical Dependencies
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