Semi-Supervised Learning of Statistical Models for Natural Language Understanding

Natural language understanding is to specify a computational model that maps sentences to their semantic mean representation. In this paper, we propose a novel framework to train the statistical models without using expensive fully annotated data. In particular, the input of our framework is a set o...

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Detalles Bibliográficos
Autores principales: Zhou, Deyu, He, Yulan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4127215/
https://www.ncbi.nlm.nih.gov/pubmed/25152899
http://dx.doi.org/10.1155/2014/121650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4127215/
https://www.ncbi.nlm.nih.gov/pubmed/25152899
http://dx.doi.org/10.1155/2014/121650

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