The acquisition of syntactic knowledge
The acquisition of syntactic knowledge
How to encode semantic knowledge: a method for meaning representation and computer-aided acquisition
Computational Linguistics
Automatic verb classification based on statistical distributions of argument structure
Computational Linguistics
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
Computational lexicons: the neat examples and the odd exemplars
ANLC '92 Proceedings of the third conference on Applied natural language processing
An empirical study on thematic knowledge acquisition based on syntactic clues and heuristics
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Acquisition of lexical information: from a large textual Italian corpus
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
A corpus-based learning technique for building a self-extensible parser
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Automatic extraction of subcategorization frames for Czech
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Automatic lexical acquisition based on statistical distributions
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Acquiring word-meaning mappings for natural language interfaces
Journal of Artificial Intelligence Research
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This paper presents a computational model of verb acquisition which uses what we will call the principle of structured overcommitment to eliminate the need for negative evidence. The learner escapes from the need to be told that certain possibilities cannot occur (i.e., are "ungrammatical") by one simple expedient: It assumes that all properties it has observed are either obligatory or forbidden until it sees otherwise, at which point it decides that what it thought was either obligatory or forbidden is merely optional. This model is built upon a classification of verbs based upon a simple three-valued set of features which represents key aspects of a verb's syntactic structure, its predicate/argument structure, and the mapping between them.