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1
Building a Large Annotated Corpus of English: The Penn Treebank
In: http://acl.ldc.upenn.edu/J/J93/J93-2004.pdf (1993)
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2
Pearl: A Probabilistic Chart Parser
In: http://acl.ldc.upenn.edu/E/E91/E91-1004.pdf (1991)
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3
Parsing a Natural Language Using Mutual Information Statistics
In: http://nlp.postech.ac.kr/~jwcha/papers/others/Syn/aaai90.ps (1990)
Abstract: The purpose of this paper is to characterize a constituent boundary parsing algorithm, using an information-theoretic measure called generalized mutual information, which serves as an alternative to traditional grammar-based parsing methods. This method is based on the hypothesis that constituent boundaries can be extracted from a given sentence (or word sequence) by analyzing the mutual information values of the part-ofspeech n-grams within the sentence. This hypothesis is supported by the performance of an implementation of this parsing algorithm which determines a recursive unlabeled bracketing of unrestricted English text with a relatively low error rate. This paper derives the generalized mutual information statistic, describes the parsing algorithm, and presents results and sample output from the parser. Introduction A standard approach to parsing a natural language is to characterize the language using a set of rules, a grammar. A grammar-based parsing algori.
URL: http://nlp.postech.ac.kr/~jwcha/papers/others/Syn/aaai90.ps
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.5592
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4
Processing General Terms
In: http://www.clef-campaign.org/2009/working_notes/morpho-papers/lignos-paperCLEF2009.pdf
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5
D-Theory: Talking about Talking about Trees
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6
BUILDING NON-NORMATIVE SYSTEMS - THE SEARCH FOR ROBUSTNESS AN OVERVIEW
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7
Pearl: A Probabilistic Chart Parser
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8
Building a Large Annotated Corpus of English: The Penn Treebank
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