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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 4 5 6...11 Hits 21 – 40 of 205 21 Improved word similarity computation for Chinese using sub-word information Jin, Peng; Carroll, John; Wu, Yunfang. - 2011 BASE Show details 22 Dependency Parsing Schemata and Mildly Non-Projective Dependency Parsing Weir, David; Gómez-Rodríguez, Carlos; Carroll, John. - 2011 BASE Show details 23 Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification Weir, David; Bollegala, Danushka; Carroll, John. - 2011 BASE Show details 24 Efficiency in unification-based N-best parsing Zhang, Yi; Oepen, Stephan; Carroll, John In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 223-241 BLLDB Show details 25 Semi-supervised training of a statistical parser from unlabeled partially-bracketed data Watson, Rebecca; Briscoe, Edward J.; Carroll, John In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 277-291 BLLDB Show details 26 Parsing Carroll, John In: The Oxford handbook of computational linguistics (New York, 2009), p. 233-248 MPI für Psycholinguistik Show details 27 Parsing mildly non-projective dependency structures Gómez-Rodríguez, Carlos; Weir, David; Carroll, John In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 291-299 BLLDB Show details 28 A blog says I am here! : Encouraging reflection on performance-making and drama practice through blogs Raphael, Jo. - : Continuum International, 2009 BASE Show details 29 Weakly supervised techniques for domain-independent sentiment classification Read, Jonathon; Carroll, John. - : Association for Computing Machinary, Inc, 2009 BASE Show details 30 Estimating and exploiting the entropy of sense distributions Koeling, Rob; Jin, Peng; Carroll, John. - 2009 BASE Show details 31 Parsing mildly non-projective dependency structures Carroll, John; Weir, David; Gómez-Rodríguez, Carlos. - 2009 BASE Show details 32 Multilingual opinion holder and target extraction using knowledge-poor techniques Zagibalov, Taras; Carroll, John. - 2009 BASE Show details 33 Natural Language and Computational Linguistics at the University of Sussex ; Естественный язык и компьютерная лингвистика в Университете Сассекса Carroll, John A.; Дж. А. Кэрролл. - : Сибирский федеральный университет. Siberian Federal University, 2008 BASE Show details 34 Automatic seed word selection for unsupervised sentiment classification of Chinese text Carroll, John; Zagibalov, Taras. - 2008 BASE Show details 35 A Deductive Approach to Dependency Parsing Carroll, John; Gómez-Rodríguez, Carlos; Weir, David. - 2008 BASE Show details 36 Unsupervised acquisition of predominant word senses Carroll, John; Koeling, Rob; Weeds, Julie... In: Computational linguistics. - Cambridge, Mass. : MIT Press 33 (2007) 4, 553-590 BLLDB OLC Linguistik Show details 37 Review of Edward Sapir : appraisals of his life and work Carroll, John B. In: Edward Sapir : critical assessments of leading linguistics (London, 2007), 1 ; p. 206-209 MPI für Psycholinguistik Show details 38 Review of "Edward Sapir: Appraisals of his life and work" [Rezension] Carroll, John Bissell In: Edward Sapir ; 1. - London [u.a.] : Routledge (2007), 206-209 BLLDB Show details 39 Modelling control in generation Paiva, Daniel; Weir, David; Carroll, John. - : Association for Computational Linguistics, 2007 BASE Show details 40 Annotating expressions of appraisal in English Hope, David; Carroll, John; Read, Jonathon. - : Association for Computational Linguistics, 2007 BASE Show details Page: 1 2 3 4 5 6...11

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