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EMNLP
2008
15 years 6 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
ITA
2007
101views Communications» more  ITA 2007»
15 years 5 months ago
Learning tree languages from text
We study the problem of learning regular tree languages from text. We show that the framework of function distinguishability as introduced by the author in Theoretical Computer Sc...
Henning Fernau
DEBU
2000
95views more  DEBU 2000»
15 years 5 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
ETS
2009
IEEE
98views Hardware» more  ETS 2009»
15 years 3 months ago
Increasing Robustness of SAT-based Delay Test Generation Using Efficient Dynamic Learning Techniques
Due to the increased speed in modern designs, testing for delay faults has become an important issue in the postproduction test of manufactured chips. A high fault coverage is nee...
Stephan Eggersglüß, Rolf Drechsler
C5
2005
IEEE
15 years 10 months ago
P2P e-Learning System and Its Squeak-Based User Interface
In this paper, we present a novel framework for asynchronous Web-based training. The proposed system has two distinguishing features. Firstly, it is based on P2P architecture for ...
Takao Kawamura, Ryosuke Nakatani, Kazunori Sugahar...