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IJCAI
2007
14 years 11 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
EMNLP
2006
14 years 11 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
IJCAI
2001
14 years 11 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
SIGKDD
2000
106views more  SIGKDD 2000»
14 years 9 months ago
Data mining for hypertext: A tutorial survey
With over 800 million pages covering most areas of human endeavor, the World-wide Web is a fertile ground for data mining research to make a di erence to the e ectiveness of infor...
Soumen Chakrabarti
JMLR
2010
155views more  JMLR 2010»
14 years 8 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...