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Book Information

   

Title: Linguistic Structure Prediction
Written By: Noah A. Smith‌
Edited By: Graeme Hirst
URL: http://dx.doi.org/10.2200/S00361ED1V01Y201105HLT013
Description:

A major part of natural language processing now depends on the use of text
data to build linguistic analyzers. We consider statistical, computational
approaches to modeling linguistic structure. We seek to unify across many
approaches and many kinds of linguistic structures. Assuming a basic
understanding of natural language processing and/or machine learning, we seek
to bridge the gap between the two fields. Approaches to decoding (i.e., carrying
out linguistic structure prediction) and supervised and unsupervised learning of
models that predict discrete structures as outputs are the focus. We also
survey natural language processing problems to which these methods are being
applied, and we address related topics in probabilistic inference, optimization,
and experimental methodology.

Table of Contents: Representations and Linguistic Data / Decoding: Making
Predictions / Learning Structure from Annotated Data / Learning Structure from
Incomplete Data / Beyond Decoding: Inference

Publication Year: 2011
Publisher: Morgan & Claypool Publishers
Review: Read the review
BibTex: View BibTex record
Linguistic Field(s): Computational Linguistics
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Versions:
Format: Electronic
ISBN-13: 9781608454068
Pages: 274
Prices: U.S. $ 30.00
 
Format: Paperback
ISBN-13: 9781608454051
Pages: 274
Prices: U.S. $ 60.00