Book Details
Title: Memory-Based Parsing
Author: Sandra Kübler
Series: Natural Language Processing, 7
Publisher: John Benjamins, Amsterdam; October 2004
Level: Advanced Monograph
Field: Computational linguistics / Natural language processing
Keywords: memory-based learing, paradigms, robust parsing, information retrieval
ISBN: 1588115909, English, Hardcover, 294 pages
Publisher's Abstract:
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.
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Quick References
Kübler, Sandra. 2004. Memory-Based Parsing. Amsterdam: John Benjamins.
@BOOK { 1588115909,
AUTHOR = {Sandra Kübler},
YEAR = {2004},
TITLE = {Memory-Based Parsing},
ADDRESS = {Amsterdam},
PUBLISHER = {John Benjamins}
}