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  1. Foundations of Statistical Natural Language Processing.Christopher Manning & Hinrich Schutze - 1999 - MIT Press.
    Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, (...)
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  • (1 other version)Accurate unlexicalized parsing.Christopher Manning - manuscript
    assumptions latent in a vanilla treebank grammar. Indeed, its performance of 86.36% (LP/LR F1) is..
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  • (1 other version)Accurate Unlexicalized Parsing.Dan Klein & Christopher D. Manning - unknown
    We demonstrate that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple, linguistically motivated state splits, which break down false independence assumptions latent in a vanilla treebank grammar. Indeed, its performance of 86.36% (LP/LR F1) is better than that of early lexicalized PCFG models, and surprisingly close to the current state-of-theart. This result has potential uses beyond establishing a strong lower bound on the maximum possible accuracy of unlexicalized models: an unlexicalized PCFG is (...)
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  • Max-Margin parsing.Christopher Manning - manuscript
    Ben Taskar Dan Klein Michael Collins Computer Science Dept. Computer Science Dept. CS and AI Lab Stanford University Stanford University.
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