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» Learning Transformation Rules to Find Grammatical Relations
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CORR
1999
Springer
112views Education» more  CORR 1999»
13 years 4 months ago
Learning Transformation Rules to Find Grammatical Relations
Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequences and-e...
Lisa Ferro, Marc B. Vilain, Alexander S. Yeh
HYBRID
1998
Springer
13 years 8 months ago
A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations
Abstract. This paper proposes an account of the acquisition of grammatical relations using the basic concepts of connectionism and a construction-based theory of grammar. Many prev...
William C. Morris, Garrison W. Cottrell, Jeffrey L...
COGSCI
2008
129views more  COGSCI 2008»
13 years 4 months ago
A Rational Analysis of Rule-Based Concept Learning
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...
LREC
2010
216views Education» more  LREC 2010»
13 years 6 months ago
Automatic Grammar Rule Extraction and Ranking for Definitions
Learning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which w...
Claudia Borg, Mike Rosner, Gordon J. Pace
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
13 years 8 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland