Livre: Smith, Linguistic Structure Prediction

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Fri Aug 12 18:56:01 UTC 2011

Date: Fri, 12 Aug 2011 11:34:14 -0400
From: Graeme Hirst <gh at>
Message-Id: <5F110D52-A43A-4B40-B8E4-DB38D9F30E7C at>


Linguistic Structure Prediction
Noah A. Smith
PDF (2766 KB) | PDF Plus (2767 KB) 

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

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