72 search results - page 1 / 15 » Bootstrapping statistical parsers from small datasets |
EACL
2003
ACL Anthology
13 years 6 months ago
2003
ACL Anthology
We present a practical co-training method for bootstrapping statistical parsers using a small amount of manually parsed training material and a much larger pool of raw sentences. ...
EMNLP
2007
13 years 6 months ago
2007
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
PERCOM
2007
ACM
14 years 4 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...