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bot.zen @ EmpiriST 2015 - A minimally-deep learning PoS-tagger (trained for German CMC and Web data)
In: Proceedings of the 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task ; 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task ; https://hal.archives-ouvertes.fr/hal-01380182 ; 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task, Paul Cook; Stefan Evert; Roland Schäfer; Egon Stemle, Aug 2016, Berlin, Germany. pp.115 - 119, ⟨10.18653/v1/W16-2614⟩ ; https://www.sigwac.org.uk/wiki/WAC-X (2016)
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2
Using Distributional Similarity of Multi-Way Translations to Predict Multiword Expression Compositionality
In: http://aclweb.org/anthology/E/E14/E14-1050.pdf (2014)
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3
A lexicographic appraisal of an automatic approach for detecting new word senses
In: http://people.eng.unimelb.edu.au/paulcook/elex2013.pdf (2013)
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4
Classifying english documents by national dialect
In: http://people.eng.unimelb.edu.au/paulcook/U13-1003.pdf (2013)
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5
How noisy social media text, how diffrnt social media sources
In: http://aclweb.org/anthology/I/I13/I13-1041.pdf (2013)
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6
Web-Corpora from Top-Level Domains Represent National Varieties of English
In: http://lexicometrica.univ-paris3.fr/jadt/jadt2012/Communications/Cook,+Paul+et+al.+-+Do+web+Corpora+from+Top-Level+Domains.pdf (2012)
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7
Exploiting linguistic knowledge to infer properties of neologisms
In: http://www.cs.toronto.edu/%7Epcook/Cook2010.pdf (2010)
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8
Unsupervised Type and Token Identification of Idiomatic Expression
In: http://aclweb.org/anthology-new/J/J09/J09-1005.pdf (2009)
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9
Unsupervised type and token identification of idiomatic expressions
In: http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf (2009)
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10
The VNCTokens Dataset
In: http://www.cs.toronto.edu/~pcook/CFS2008.pdf (2008)
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The VNCTokens Dataset
In: http://www.cs.toronto.edu/~suzanne/papers/CFS2008.pdf (2008)
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12
Classifying particle semantics in English verb-particle constructions
In: http://www.cs.toronto.edu/~pcook/CookStevenson2006.pdf (2006)
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13
Classifying particle semantics in English verb-particle constructions
In: http://www.aclweb.org/anthology-new/W/W06/W06-1207.pdf (2006)
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14
Stevenson Automatically Identifying the Source Words of Lexical Blends
In: http://www.cs.toronto.edu/~suzanne/papers/CookStevensonCL2010.pdf (2004)
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15
Automagically Inferring the Source Words of Lexical Blends
In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2007.pdf
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16
No sentence is too confusing to ignore
In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2010.pdf
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17
Automatic identification of words with novel but infrequent senses⋆
In: http://www.aclweb.org/anthology/Y11-1028/
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18
Novel Word-sense Identification
In: http://aclweb.org/anthology/C/C14/C14-1154.pdf
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19
to appear. One sense per tweeter . and other lexical semantic tales of Twitter
In: http://aclweb.org/anthology/E/E14/E14-4042.pdf
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20
Applying a Word-sense Induction System to the Automatic Extraction of Diverse Dictionary Examples
In: http://people.eng.unimelb.edu.au/tbaldwin/pubs/euralex2014.pdf
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