Loading...
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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Hindawi Publishing Corporation
2014
|
| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4127215/ https://ncbi.nlm.nih.gov/pubmed/25152899 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/121650 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|