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» Learning aspect models with partially labeled data
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ACL
2008
15 years 5 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum
JMLR
2012
13 years 6 months ago
Multi-label Subspace Ensemble
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Tianyi Zhou, Dacheng Tao
ICCS
2007
Springer
15 years 10 months ago
Characterizing Implications of Injective Partial Orders
Abstract. Previous work of the authors has studied a notion of implication between sets of sequences based on the conceptual structure of a Galois lattice, and also a way of repres...
José L. Balcázar, Gemma C. Garriga
FLAIRS
2001
15 years 5 months ago
Extracting Partial Structures from HTML Documents
The new wrapper model for extractiong text data from HTML documents is introduced. The Kushmerick's wrapper class (Kusshmerick 2000) may be unsuccessful in the case that suff...
Hiroshi Sakamoto, Yoshitsugu Murakami, Hiroki Arim...
SIGIR
2009
ACM
15 years 10 months ago
Named entity recognition in query
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li