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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

Record type: Article


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.

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Published date: May 2010
Organisations: Southampton Wireless Group


Local EPrints ID: 271262
ISSN: 0922-6567
PURE UUID: cd3254a3-fd03-429f-9d8a-257e05212a15

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Date deposited: 14 Jun 2010 12:43
Last modified: 18 Jul 2017 06:45

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Author: Yizhao Ni
Author: Craig Saunders
Author: Sandor Szedmak

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