Inductive Dependency Parsing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Inductive Dependency Parsing write by Joakim Nivre. This book was released on 2006-08-05. Inductive Dependency Parsing available in PDF, EPUB and Kindle. 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.
Inductive Dependency Parsing
Inductive Dependency Parsing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Inductive Dependency Parsing write by Joakim Nivre. This book was released on 2006-06-28. Inductive Dependency Parsing available in PDF, EPUB and Kindle. 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.
Inductive Dependency Parsing of Natural Language Text
Inductive Dependency Parsing of Natural Language Text - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Inductive Dependency Parsing of Natural Language Text write by Joakim Nivre. This book was released on 2005. Inductive Dependency Parsing of Natural Language Text available in PDF, EPUB and Kindle.
Dependency Parsing
Dependency Parsing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dependency Parsing write by Sandra Kübler. This book was released on 2009. Dependency Parsing available in PDF, EPUB and Kindle. Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts
Improving Dependency Parsing Using Word Clusters
Improving Dependency Parsing Using Word Clusters - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Improving Dependency Parsing Using Word Clusters write by Jostein Lien. This book was released on 2015-10-22. Improving Dependency Parsing Using Word Clusters available in PDF, EPUB and Kindle. Several studies have attempted to improve the accuracy in dependency parsing by including information about word clusters into the parsing models. The use of word clusters are typically motivated by the shortage of labeled training data and domain adaption, attempting to influence a parsing model for use on data from a new domain. This book shows the effect of using cluster-based features in MaltParser, a data-driven parser for inductive dependency parsing. Different clustering features are used for generating clusters, using the K-means clustering algorithm. The clusters are used as a source of additional information in an expanded feature model used by the MaltParser system. Parsing experiments are performed on several different data sets, including the Wall Street Journal and texts from various web domains. Significantly improved parsing results are reported when using a cluster-informed parser compared to the baseline parser. The contents of this book might be of interest to anyone interested in the application of machine learning in language technology.
