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Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL. It provides a comprehensive introduction to the framework and goes on to describe and compare appl

Computational linguistics. --- Parsing (Computer grammar)

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Computational linguistics. --- Parsing (Computer grammar)

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The book features the findings of computational linguistics research on the automatic decoding of referential relations in Polish texts. The author presents a specific definition of coreference, constructs a representative corpus of coreference using texts from the National Corpus of Polish, implements systems for detecting mentions and coreferences, and evaluates them, achieving results comparable with systems of this kind for other languages.

Computational linguistics. --- Parsing (Computer grammar) --- Polish language.

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Parsing (Computer grammar) --- Analyse automatique (Linguistique)

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Logic, Symbolic and mathematical --- Parsing (Computer grammar)