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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...13 Hits 1 – 20 of 254 1 On the localness of software Zhaopeng Tu; Zhendong Su; Prem Devanbu In: http://macbeth.cs.ucdavis.edu/cache-model.pdf (2014) BASE Show details 2 Seeing the Best and Worst of Everything on the Web with a Two-level, Feature-rich Affect Lexicon Tony Veale In: http://www2012.wwwconference.org/proceedings/companion/p623.pdf (2012) BASE Show details 3 Lexical Quality as a Proxy for Web Text Understandability ABSTRACT Luz Rello In: http://www2012.wwwconference.org/proceedings/companion/p591.pdf (2012) BASE Show details 4 Automatic refinement of patent queries using concept importance predictors Parvaz Mahdabi; Linda Andersson; Mostafa Keikha... In: http://www.inf.usi.ch/phd/keikha/papers/fp099-mahdabi.pdf (2012) BASE Show details 5 Mark my words! Linguistic style accommodation in social media Cristian Danescu-niculescu-mizil; Michael Gamon; Susan Dumais In: http://www.cs.cornell.edu/~cristian/papers/accommodation.pdf (2011) BASE Show details 6 NTCIR9-GeoTime Overview - Evaluating Geographic and Temporal Search: Round 2, In this proceedings Fredric Gey; Ray Larson; Jorge Machado... In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/01-NTCIR9-OV-GEOTIME-GeyF.pdf (2011) BASE Show details 7 See what I'm saying? Using dyadic mobile eye tracking to study collaborative reference Darren Gergle; Alan T. Clark In: http://www.soc.northwestern.edu/dgergle/resources/GergleClark_CSCW2011.pdf (2011) BASE Show details 8 Language Resources extracted from Wikipedia Denny Vrandečić; Wikimedia Deutschland; Rudi Studer In: http://www.aifb.kit.edu/images/5/5c/Vrandecic11language.pdf (2011) BASE Show details 9 Folks in folksonomies: social link prediction from shared metadata Rossano Schifanella; Alain Barrat In: http://hal.archives-ouvertes.fr/docs/00/42/98/86/PDF/wsdm141-schifanella.pdf (2010) BASE Show details 10 Semantic lexicon adaptation for use in query interpretation Ana-maria Popescu; Patrick Pantel; Gilad Mishne In: http://www.ra.ethz.ch/cdstore/www2010/www/p1167.pdf (2010) BASE Show details 11 Hiroshima city university at evaluation subtask in the NTCIR-8 patent translation task Hidetsugu Nanba; Kazuho Hirahara; Toshiyuki Takezawa In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings8/NTCIR/09-NTCIR8-PATMT-NanbaH.pdf (2010) BASE Show details 12 Automatically documenting program changes Raymond P. L. Buse; Westley Weimer In: http://arrestedcomputing.com/pubs/deltadoc-ase.pdf (2010) BASE Show details 13 M.: Application of Axiomatic Approaches to Crosslanguage Retrieval Roman Kern; Andreas Juffinger; Michael Granitzer In: http://clef.isti.cnr.it/2009/working_notes/rkern-paperCLEF2009.pdf (2010) BASE Show details 14 Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes Borja Navarro-colorado; Marcel Puchol-blasco; Rafael M. Terol... In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009) BASE Show details 15 Visual Attention in Spoken Human-Robot Interaction Maria Staudte; Matthew W. Crocker In: http://www.coli.uni-saarland.de/~masta/hri09.pdf (2009) BASE Show details 16 Visual Attention in Spoken Human-Robot Interaction Maria Staudte; Matthew W. Crocker In: http://www.coli.uni-saarland.de/~crocker/documents/staudte-hri09.pdf (2009) BASE Show details 17 Word sense disambiguation: a survey Roberto Navigli In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009) Abstract: Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence. We introduce the reader to the motivations for solving the ambiguity of words and provide a description of the task. We overview supervised, unsupervised, and knowledge-based approaches. The assessment of WSD systems is discussed in the context of the Senseval/Semeval campaigns, aiming at the objective evaluation of systems participating in several different disambiguation tasks. Finally, applications, open problems, and future directions are discussed. Keyword: Algorithms; Categories and Subject Descriptors; Experimentation; I.2.4 [Artificial Intelligence; I.2.7 [Artificial Intelligence; Knowledge Representation Formalisms and Methods General Terms; lexical ambiguity; lexical semantics; Measurement; Natural Language Processing—Text analysis; Performance Additional Key Words and Phrases; semantic annotation ACM Reference Format; sense annotation; Word sense disambiguation; word sense discrimination; WSD URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.8457 http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf BASE Hide details 18 Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment Martha Larson; Eamonn Newman; Gareth J. F. Jones In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009) BASE Show details 19 Multiple retrieval models and regression models for prior art search Patrice Lopez; Laurent Romary In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009) BASE Show details 20 Multilingual Wikipedia, Summarization, and Information Trustworthiness Elena Filatova In: http://storm.cis.fordham.edu/~filatova/PDFfiles/FilatovaCLIR2009.pdf (2009) BASE Show details Page: 1 2 3 4 5...13

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