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EMNLP
2010
15 years 4 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
EMNLP
2011
14 years 5 months ago
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering ...
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Ch...
ICDT
2010
ACM
147views Database» more  ICDT 2010»
15 years 9 months ago
Querying Parse Trees of Stochastic Context-Free Grammars
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Sara Cohen, Benny Kimelfeld
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
16 years 7 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
UML
2005
Springer
15 years 11 months ago
Reliability Prediction in Model-Driven Development
Abstract. Evaluating the implications of an architecture design early in the software development lifecycle is important in order to reduce costs of development. Reliability is an ...
Genaína Nunes Rodrigues, David S. Rosenblum...