@inproceedings{e588b1c49cf848ab89021d64ae5e0dea,
title = "Learning Verb Classes in an Incremental Model",
abstract = "The ability of children to generalize over the linguistic input they receive is key to acquiring productive knowledge of verbs. Such generalizations help children extend their learned knowledge of constructions to a novel verb, and use it appropriately in syntactic patterns previously unobserved for that verb-a key factor in language productivity. Computational models can help shed light on the gradual development of more abstract knowledge during verb acquisition. We present an incremental Bayesian model that simultaneously and incrementally learns argument structure constructions and verb classes given naturalistic language input. We show how the distributional properties in the input language influence the formation of generalizations over the constructions and classes.",
author = "Libby Barak and Afsaneh Fazly and Suzanne Stevenson",
note = "Publisher Copyright: {\textcopyright} 2014 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All rights reserved.; 5th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 26-06-2014",
year = "2014",
language = "English",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "37--45",
editor = "Vera Demberg and Tim O�Donnell",
booktitle = "5th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings",
address = "United States",
}