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Titlebook: Computational Linguistics and Intelligent Text Processing; 15th International C Alexander Gelbukh Conference proceedings 2014 Springer-Verl

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楼主: 传家宝
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Simple TF·IDF Is Not the Best You Can Get for Regionalism Classificationximizes the discrimination of such terms given a reduced bootstrapping set of examples labeled for each region (400). We present performance examples for the Spanish variations across the Americas and Spain.
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Improved Text Extraction from PDF Documents for Large-Scale Natural Language Processing, Apache Tika and Poppler in various configurations. From the output of these tools we recover proper boundaries using on-the-fly language models and language-independent extraction heuristics. In our research, we looked especially at publications from the European Union, which constitute a valuable
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Modified Differential Evolution for Biochemical Name Recognizerelop many models of CRF using these feature combinations. In order to further improve the performance the outputs of these classifiers are combined together using a classifier ensemble technique based on modified DE. Our experiments with the benchmark datasets yield the recall, precision and F-measu
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Optimality Theory as a Framework for Lexical Acquisitionproduces and implements the main components of Optimality Theory. However, we formulate the hypothesis that some of its limitations are mainly due to a poor representation of the constraints used. Finally, we show how a better representation of the constraints used would yield better results.
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Compound Terms and Their Multi-word Variants: Case of German and Russian Languagesand syntactic variations which have to be handled by any NLP applications. If the syntactic variations of multi-word terms have been described and tools designed to process them, only a few works studied the syntagmatic variants of compound terms. This paper is dedicated to the identification of suc
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