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1	Available online at www.sciencedirect.com
	Scott A. Crossley A; Tom Cobb B; Danielle S. Mcnamara C
	In: http://www.lextutor.ca/cv/crossley_cobb_mcn_13.pdf (2013)
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2	Brain Function Differences in Language Processing in Children and Adults with Autism
	Diane L. Williams; Vladimir L. Cherkassky; Robert A. Mason. - 2013
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3	in Monetary Policy and Financial Economics
	Eric A. Daimler; Carolyn P. Rosé; James Burnham...
	In: http://reports-archive.adm.cs.cmu.edu/anon/usr0/ftp/usr0/anon/isr2013/CMU-ISR-13-109.pdf (2013)
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4	Institut National de Recherche en Informatique et Automatique
	Université De Lorraine; École Doctorale Iaem Informatique; Ekaterina Lebedeva
	In: http://tel.archives-ouvertes.fr/docs/00/78/32/45/PDF/Thesis-submitted_version.pdf (2013)
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5	Published In
	Svetlana V. Shinkareva; Vicente L. Malave; Marcel Adam Just. - 2012
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6	Cerebral Cortex doi:10.1093/cercor/bhr162 Distinctive Neural Processes during Learning in Autism
	Sarah E. Schipul; Diane L. Williams; Timothy A. Keller. - 2012
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7	and a Change in Network Timing
	Augusto Buchweitz; Timothy A. Keller; Ann Meyler. - 2012
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8	Differentiable cortical networks for inferences concerning people’s intentions versus physical causality
	Robert A. Mason; Marcel Adam Just. - 2011
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9	Commonality of neural representations of words and pictures
	Svetlana V. Shinkareva; Vincente L. Malave; Robert A. Mason. - 2011
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10	Authors
	Akiko Mizuno; Yanni Liu; Diane L. Williams. - 2011
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11	Identifying bilingual semantic neural representations across languages
	Augusto Buchweitz; Svetlana V. Shinkareva; Robert A. Mason. - 2011
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12	Published In
	Kai-min Kevin Chang; Tom Mitchell; Marcel Adam Just. - 2011
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13	Cognition in Autism: Evidence from an fMRI Study of an Embedded Figures Task
	Saudamini Damarla; Timothy A. Keller; Rajesh K. Kana. - 2010
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14	Research Showcase @ CMU
	Augusto Buchweitz; Robert A. Mason; Tomitch Leda. - 2009
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15	Essex Graduate Student Papers in Language and Linguistics
	Colchester Co Sq
	In: http://www.essex.ac.uk/langling/documents/research/egspll_vol11.pdf (2009)
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16	Statistical language models within the algebra of weighted rational languages
	Thomas Hanneforth; Kay-michael Würzner
	In: http://www.inf.u-szeged.hu/actacybernetica/edb/vol19n2/pdf/Hanneforth_2009_ActaCybernetica.pdf (2009)
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17	Language encodes geographical information
	Max M. Louwerse; A Rolf A. Zwaan B
	In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseZwaan2009.pdf (2009)
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18	Recent Advances in Computational Linguistics
	Yulia Ledeneva; Santiago Tianguistenco; Grigori Sidorov
	In: http://www.informatica.si/PDF/34-1/01_Lendeva%20-%20Recent%20Advances%20in%20Computational%20Linguistics.pdf (2009)
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19	A.: Automatic Acquisition of Hungarian Subcategorization Frames
	András Serény; Eszter Simon; Anna Babarczy
	In: http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf (2008)
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20	A large-scale classification of English verbs
	Anna Korhonen; Neville Ryant; Martha Palmer
	In: http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf (2008)
	Abstract: Abstract. Lexical classifications have proved useful in supporting various natural language processing (NLP) tasks. The largest verb classification for English is Levin’s (1993) work which defined groupings of verbs based on syntactic and semantic properties. VerbNet (Kipper et al., 2000; Kipper-Schuler, 2005) – the largest computational verb lexicon currently avail-able for English – provides detailed syntactic-semantic descriptions of Levin classes. While the classes included are extensive enough for some NLP use, they are not comprehensive. Korhonen and Briscoe (2004) have proposed a significant extension of Levin’s classification which incorporates 57 novel classes for verbs not covered (comprehensively) by Levin. Ko-rhonen and Ryant (2005) have recently supplemented this with another extension including 53 additional classes. This article describes the integration of these two extensions into VerbNet. The result is a comprehensive Levin-style classification for English verbs providing over 90% token coverage of the Proposition Bank data (Palmer et al., 2005) and thus can be highly useful for practical applications.
	Keyword: computational linguistics; lexical classification; lexical resources
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.4707 http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf
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