PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Large Margin Methods for Part of Speech Tagging
Yasemin Altun
In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (2009) Wiley .

Abstract

Part of speech tagging, an important component of speech recognition systems, is a sequence labeling problem which involves inferring a state sequence from an observation sequence, where the state sequence encodes a labeling, annotation or segmentation of an observation sequence. In this paper we give an overview of discriminative methods developed for this problem. Special emphasis is put on large margin methods by generalizing multiclass Support Vector Machines and AdaBoost to the case of label sequences. Experimental evaluation on Part of Speech Tagging demonstrates the advantages of these models over classical approaches like Hidden Markov Models and their competitiveness with methods like Conditional Random Fields.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
ID Code:6104
Deposited By:Yasemin Altun
Deposited On:08 March 2010