61 search results - page 3 / 13 » Name Tagging with Word Clusters and Discriminative Training |
CVPR
2007
IEEE
2007
IEEE
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
14 years 8 months ago
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
COLING
2008
13 years 7 months ago
2008
In this paper, we describe a new reranking strategy named word lattice reranking, for the task of joint Chinese word segmentation and part-of-speech (POS) tagging. As a derivation...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
LREC
2010
13 years 7 months ago
2010
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
ACL
2008
13 years 7 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...