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1
Quantifying Cognitive Factors in Lexical Decline
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1529-1545 (2021) (2021)
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2
Learning verb classes in an incremental model
In: http://anthology.aclweb.org/W/W14/W14-2005.pdf (2014)
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3
Generalizing between form and meaning using learned verb classes
In: http://www.cs.toronto.edu/~suzanne/papers/ParisienStevenson-CogSci2011.pdf (2011)
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4
A probabilistic computational model of cross-situational word learning
In: http://www.coli.uni-saarland.de/~afra/papers/Fazlyetal_CS2009.pdf (2010)
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5
A probabilistic computational model of cross-situational word learning
In: http://www.cs.toronto.edu/~afsaneh/FazlyEtAl-CSJ10.pdf (2010)
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6
A graph-theoretic framework for semantic distance
In: http://wing.comp.nus.edu.sg/~antho/J/J10/J10-1002.pdf (2010)
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7
Cross-situational learning of low frequency words: The role of context familiarity and age of exposure
In: http://www.cs.toronto.edu/~suzanne/papers/FazlyEtAl-CogSci2010.pdf (2010)
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8
Cross-situational learning of low frequency words: The role of context familiarity and age of exposure
In: http://www.cs.toronto.edu/%7Eafsaneh/FazlyEtAl-CogSci11.pdf (2010)
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9
Unsupervised Type and Token Identification of Idiomatic Expression
In: http://aclweb.org/anthology-new/J/J09/J09-1005.pdf (2009)
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10
Unsupervised type and token identification of idiomatic expressions
In: http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf (2009)
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11
c○2009 The Association for Computational Linguistics
In: http://www.aclweb.org/anthology/W/W09/W09-12.pdf (2009)
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12
c○2009 The Association for Computational Linguistics
In: http://aclweb.org/anthology-new/W/W09/W09-12.pdf (2009)
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13
c○2009 The Association for Computational Linguistics
In: http://aclweb.org/anthology-new/W/W09/W09-11.pdf (2009)
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14
A probabilistic incremental model of word learning in the presence of referential uncertainty
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p703.pdf (2008)
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15
An incremental bayesian model for learning syntactic categories
In: http://www.cs.toronto.edu/~afsaneh/ParisienEtAl-CoNLL08.pdf (2008)
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16
The VNCTokens Dataset
In: http://www.cs.toronto.edu/~pcook/CFS2008.pdf (2008)
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17
The VNCTokens Dataset
In: http://www.cs.toronto.edu/~suzanne/papers/CFS2008.pdf (2008)
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18
Distinguishing subtypes of multiword expressions using linguistically-motivated statistical measures
In: http://www.aclweb.org/anthology-new/W/W07/W07-1102.pdf (2007)
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19
Distinguishing subtypes of multiword expressions using linguistically-motivated statistical measures. ACL2007 Workshop on Multiword Expressions: A Broader Perspective on Multiword Expressions
In: http://www.let.uu.nl/~nicole.gregoire/personal/acl07-mwe/pdf/acl07-mwe02.pdf (2007)
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20
Distinguishing subtypes of multiword expressions using linguistically-motivated statistical measures. ACL2007 Workshop on Multiword Expressions: A Broader Perspective on Multiword Expressions
In: http://www.cs.toronto.edu/~suzanne/papers/FazlyStevenson2007.pdf (2007)
Abstract: We identify several classes of multiword expressions that each require a different encoding in a (computational) lexicon, as well as a different treatment within a computational system. We examine linguistic properties pertaining to the degree of semantic idiosyncrasy of these classes of expressions. Accordingly, we propose statistical measures to quantify each property, and use the measures to automatically distinguish the classes. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.8715
http://www.cs.toronto.edu/~suzanne/papers/FazlyStevenson2007.pdf
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