Memory Based Language Processing
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Memory Based Language Processing
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Author : Walter Daelemans
language : en
Publisher: Cambridge University Press
Release Date : 2005-09
Memory Based Language Processing written by Walter Daelemans and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09 with Computers categories.
Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.
Memory Based Language Processing
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Author :
language : en
Publisher:
Release Date : 2005
Memory Based Language Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Natural language processing (Computer science) categories.
This book discusses the theory and practice of memory-based language processing - a machine learning and problem solving method for language technology - showing its comparative strengths over alternative methods of language modelling. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.
Memory Based Parsing
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Author : Sandra Kübler
language : en
Publisher: John Benjamins Publishing
Release Date : 2004-10-31
Memory Based Parsing written by Sandra Kübler and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-31 with Language Arts & Disciplines categories.
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 applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree.The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering.
Deep Learning For Natural Language Processing
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Author : Stephan Raaijmakers
language : en
Publisher: Simon and Schuster
Release Date : 2022-12-06
Deep Learning For Natural Language Processing written by Stephan Raaijmakers and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-06 with Computers categories.
Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses!
Advances In Natural Language Processing
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Author : Adam Przepiórkowski
language : en
Publisher: Springer
Release Date : 2014-09-05
Advances In Natural Language Processing written by Adam Przepiórkowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-05 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Advances in Natural Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised full papers and 20 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on morphology, named entity recognition, term extraction; lexical semantics; sentence level syntax, semantics, and machine translation; discourse, coreference resolution, automatic summarization, and question answering; text classification, information extraction and information retrieval; and speech processing, language modelling, and spell- and grammar-checking.
Memory Based Parsing
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Author : Sandra Kübler
language : en
Publisher: John Benjamins Publishing
Release Date : 2004-01-01
Memory Based Parsing written by Sandra Kübler and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Language Arts & Disciplines categories.
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 applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree.The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering.
Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01
Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
Stevens Handbook Of Experimental Psychology Memory And Cognitive Processes
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Author : Douglas Medin
language : en
Publisher: John Wiley & Sons
Release Date : 2004-02-05
Stevens Handbook Of Experimental Psychology Memory And Cognitive Processes written by Douglas Medin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-05 with Psychology categories.
Now available in paperback. This revised and updated edition of the definitive resource for experimental psychology offers comprehensive coverage of the latest findings in the field, as well as the most recent contributions in methodology and the explosion of research in neuroscience. Volume Two: Memory and Cognitive Processes, focuses on the neurological and cognitive processes on topics such as memory, decision-making, spatial cognition, linguistics, reasoning, and concepts.
Computational Linguistics In The Netherlands 1998
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Author :
language : en
Publisher: BRILL
Release Date : 2021-07-26
Computational Linguistics In The Netherlands 1998 written by and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-26 with Language Arts & Disciplines categories.
This volume provides a selection of the papers which were presented at the ninth conference on Computational Linguistics in the Netherlands (Leuven, 1998). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. In terms of topics the contributions can be grouped under three headings: the use of statistical methods in speech and language processing (6 papers), the analysis of syntactic and semantic phenomena in the framework of computationally oriented formalisms, such as Head-driven Phrase Structure Grammar (5 papers), and the development of NLP applications, such as document processing, dialogue modelling and teaching (3 papers). The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of advanced students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).
Inductive Dependency Parsing
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Author : Joakim Nivre
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-05
Inductive Dependency Parsing written by Joakim Nivre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-05 with Computers categories.
This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.