The application of structured learning in natural language processing


Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2010) The application of structured learning in natural language processing Machine Translation

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Description/Abstract

We propose a structured learning approach, max-margin structure (MMS), which is targeted at natural language processing (NLP) tasks. The architecture of our approach is shown to capture structural aspects of the problem domains, leading to demonstrable performance improvements on two NLP tasks: part-of-speech tagging and statistical machine translation (SMT). We present a perceptron-based online learning algorithm to train the model and demonstrate desirable computational scaling behavior over traditional optimisation methods.

Item Type: Article
ISSNs: 0922-6567 (print)
Organisations: Southampton Wireless Group
ePrint ID: 271262
Date :
Date Event
May 2010Published
Date Deposited: 14 Jun 2010 12:43
Last Modified: 17 Apr 2017 18:18
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271262

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