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Titlebook: Computational Linguistics and Intelligent Text Processing; 10th International C Alexander Gelbukh Conference proceedings 2009 Springer-Verl

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楼主: cerebral
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Automatic Extraction of Clause Relationships from a Treebank clauses and their mutual relationship are not explicitly annotated in the treebank, therefore it was necessary to develop an automatic method transforming the original annotation concentrating on the syntactic role of individual word forms into a scheme describing the relationship between individua
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Computational Linguistics and Intelligent Text Processing978-3-642-00382-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Student and Graduate Mobility in Armeniagoing. The title of this paper, borrowed from Hull, Jurafsky and Martin (2008), suggests that applications have become more important, and that industrial laboratories will become increasingly prestigious.
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International and Development Educationent: two annotators have syntactically tagged a sample of the mentioned corpus in order to evaluate the agreement-rate between them and to identify those issues that have to be improved in the syntactic annotation process. In this article we present the quantitative and qualitative results of this evaluation.
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Friederike Kern,Björn Stövesanded one of the techniques. We present a hybrid model that combines the disambiguation power of language modeling and the ability of discriminative classifiers to deal with out-of-vocabulary words. We show that the combined model achieves 9% error reduction over the discriminative classifier alone.
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https://doi.org/10.1007/978-3-658-28931-7uth-conditions. Our analysis is based on the procedural semantics of Transparent Intensional Logic (TIL) assigning to sentences hyperpropositions as their structured meanings. We analyse the phenomena of presupposition connected with a topic and allegation triggered by a focus of a sentence so that relevant consequences can be formally derived.
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