Meny

Javascript verkar inte påslaget? - Vissa delar av Lunds universitets webbplats fungerar inte optimalt utan javascript, kontrollera din webbläsares inställningar.
Du är här

Sparse bayesian classification of predicate arguments

Författare:
Publiceringsår: 2005
Språk: Engelska
Sidor: 177-200
Publikation/Tidskrift/Serie: CoNLL-2005: Proceedings of the Ninth Conference on Computational Natural Language Learning, 43rd Annual Meeting of the Association of Computational Linguistics
Dokumenttyp: Konferensbidrag
Förlag: Association for Computational Linguistics

Sammanfattning

We present an application of Sparse Bayesian Learning to the task of semantic role labeling, and we demonstrate that this method produces smaller classifiers than the popular Support Vector approach. We describe the classification strategy and the features used by the classifier. In particular, the contribution of six parse tree path features is investigated.

Disputation

Nyckelord

  • Technology and Engineering
  • machine learning
  • Natural language processing
  • semantic analysis

Övriga

Ninth Conference on Computational Natural Language Learning
2005-06-29/2005-06-30
Ann Arbor, USA
Published
Yes

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen