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

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Japanese language --- Japanese language --- Parsing (Computer grammar)

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Computational linguistics --- Data mining --- Parsing (Computer grammar)

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Parsing (Computer grammar) --- Discourse analysis --- Data processing --- Data processing. --- Parsing (Computer grammar). --- Discourse analysis - Data processing