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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 41 1 bot.zen @ EmpiriST 2015 - A minimally-deep learning PoS-tagger (trained for German CMC and Web data) Stemle, Egon 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) BASE Show details 2 Using Distributional Similarity of Multi-Way Translations to Predict Multiword Expression Compositionality Bahar Salehi; Paul Cook; Timothy Baldwin In: http://aclweb.org/anthology/E/E14/E14-1050.pdf (2014) BASE Show details 3 A lexicographic appraisal of an automatic approach for detecting new word senses Paul Cook; Ƅ Jey Han Lau; Ƅ Michael Rundell... In: http://people.eng.unimelb.edu.au/paulcook/elex2013.pdf (2013) BASE Show details 4 Classifying english documents by national dialect Marco Lui; Paul Cook In: http://people.eng.unimelb.edu.au/paulcook/U13-1003.pdf (2013) BASE Show details 5 How noisy social media text, how diffrnt social media sources Timothy Baldwin; Paul Cook; Marco Lui... In: http://aclweb.org/anthology/I/I13/I13-1041.pdf (2013) BASE Show details 6 Web-Corpora from Top-Level Domains Represent National Varieties of English Paul Cook; Graeme Hirst In: http://lexicometrica.univ-paris3.fr/jadt/jadt2012/Communications/Cook,+Paul+et+al.+-+Do+web+Corpora+from+Top-Level+Domains.pdf (2012) BASE Show details 7 Exploiting linguistic knowledge to infer properties of neologisms C. Paul Cook In: http://www.cs.toronto.edu/%7Epcook/Cook2010.pdf (2010) BASE Show details 8 Unsupervised Type and Token Identification of Idiomatic Expression Afsaneh Fazly; Paul Cook; Suzanne Stevenson In: http://aclweb.org/anthology-new/J/J09/J09-1005.pdf (2009) BASE Show details 9 Unsupervised type and token identification of idiomatic expressions Afsaneh Fazly; Paul Cook; Suzanne Stevenson In: http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf (2009) Abstract: Idiomatic expressions are plentiful in everyday language, yet they remain mysterious, as it is not clear exactly how people learn and understand them. They are of special interest to linguists, psycholinguists, and lexicographers, mainly because of their syntactic and semantic idiosyncrasies as well as their unclear lexical status. Despite a great deal of research on the properties of idioms in the linguistics literature, there is not much agreement on which properties are characteristic of these expressions. Because of their peculiarities, idiomatic expressions have mostly been overlooked by researchers in computational linguistics. In this article, we look into the usefulness of some of the identified linguistic properties of idioms for their automatic recognition. Specifically, we develop statistical measures that each model a specific property of idiomatic expressions by looking at their actual usage patterns in text. We use these statistical measures in a type-based classification task where we automatically separate idiomatic expressions (expressions with a possible idiomatic interpretation) from similar-on-the-surface literal phrases (for which no idiomatic interpretation is possible). In addition, we use some of the measures in a token identification task where we distinguish idiomatic and literal usages of potentially-idiomatic expressions in context. 1. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.8228 http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf BASE Hide details 10 The VNCTokens Dataset Paul Cook; Afsaneh Fazly; Suzanne Stevenson In: http://www.cs.toronto.edu/~pcook/CFS2008.pdf (2008) BASE Show details 11 The VNCTokens Dataset Paul Cook; Afsaneh Fazly; Suzanne Stevenson In: http://www.cs.toronto.edu/~suzanne/papers/CFS2008.pdf (2008) BASE Show details 12 Classifying particle semantics in English verb-particle constructions Paul Cook; Suzanne Stevenson In: http://www.cs.toronto.edu/~pcook/CookStevenson2006.pdf (2006) BASE Show details 13 Classifying particle semantics in English verb-particle constructions Paul Cook; Suzanne Stevenson In: http://www.aclweb.org/anthology-new/W/W06/W06-1207.pdf (2006) BASE Show details 14 Stevenson Automatically Identifying the Source Words of Lexical Blends Paul Cook; Suzanne Stevenson In: http://www.cs.toronto.edu/~suzanne/papers/CookStevensonCL2010.pdf (2004) BASE Show details 15 Automagically Inferring the Source Words of Lexical Blends Paul Cook; Suzanne Stevenson In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2007.pdf BASE Show details 16 No sentence is too confusing to ignore Paul Cook; Suzanne Stevenson In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2010.pdf BASE Show details 17 Automatic identification of words with novel but infrequent senses⋆ Paul Cook; Graeme Hirst In: http://www.aclweb.org/anthology/Y11-1028/ BASE Show details 18 Novel Word-sense Identification Paul Cook; Jey Han Lau; Diana Mccarthy... In: http://aclweb.org/anthology/C/C14/C14-1154.pdf BASE Show details 19 to appear. One sense per tweeter . and other lexical semantic tales of Twitter Ana Gella; Paul Cook; Timothy Baldwin In: http://aclweb.org/anthology/E/E14/E14-4042.pdf BASE Show details 20 Applying a Word-sense Induction System to the Automatic Extraction of Diverse Dictionary Examples Paul Cook; Michael Rundell; Jey Han Lau... In: http://people.eng.unimelb.edu.au/tbaldwin/pubs/euralex2014.pdf BASE Show details Page: 1 2 3

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