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Classification of structured descriptions

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Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Many speech and language processing problems have been successfully cast as classification problems- associating a token with a label from a prespecified label set. However, in all these applications the set of labels is regarded as a flat list of symbols with no inherent internal structure and no co-constraints among the labels. In this paper, we present a classification task using structured word labels called Supertags and discuss methods that exploit the structure of these labels in the context of natural language generation. Supertags encode predicate-argument information along with syntactic ordering constraints that can be exploited for realizing a sentence. We report the accuracy of supertagging models for a node using features derived from its local tree context and attributes of the supertags.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesI1025-I1028
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeI
ISSN (Print)1520-6149

Conference

Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/TerritoryUnited States
CityPhiladelphia, PA
Period03/18/0503/23/05

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