9 search results - page 1 / 2 » Boosting Statistical Word Alignment Using Labeled and Unlabe... |
ACL
2006
13 years 8 months ago
2006
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
NAACL
2001
13 years 8 months ago
2001
We propose a novel Co-Training method for statistical parsing. The algorithm takes as input a small corpus (9695 sentences) annotated with parse trees, a dictionary of possible le...
ACL
2007
13 years 9 months ago
2007
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
NAACL
2010
13 years 5 months ago
2010
Like most natural language disambiguation tasks, word sense disambiguation (WSD) requires world knowledge for accurate predictions. Several proxies for this knowledge have been in...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...