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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 Hits 1 – 20 of 29 1 Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond Casteleyn, Sven; Garrigós Fernández, Irene; Mazón López, José-Norberto. - : Digital Library, 2015 BASE Show details 2 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 3 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 4 Word sense disambiguation: a survey Roberto Navigli In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009) BASE Show details 5 Textual Analysis of Stock Market Prediction Using Financial News Articles Robert P. Schumaker; Hsinchun Chen In: http://www.robschumaker.com/publications/ACM TOIS - Textual Analysis of Stock Market Prediction Using Financial News Articles.pdf (2006) BASE Show details 6 A Survey of Recent Research on Ontology Mapping Davis Marques In: http://www.sfu.ca/~mhatala/iat881/2005/DM-OntologyMapping.pdf (2005) BASE Show details 7 An Evaluation of Unnamed Relations Computation for Discovery of Protein-Protein Interactions James W. Cooper In: http://www.labsoftware.com/flahdo/Papers/EvalUnnamed.pdf (2003) BASE Show details 8 Analysis of Lexical Signatures for Finding Lost or Related Documents Seung-taek Park; David M. Pennock; C. Lee... In: http://clgiles.ist.psu.edu/papers/SIGIR-2002-lexical-signatures.pdf (2002) BASE Show details 9 Meaningful term extraction and discriminative term selection in text categorization via unknown-word methodology Yu-sheng Lai; Chung-hsien Wu In: http://www.cs.toronto.edu/~gh/Courses/2528/Readings/2002f/Lai+Wu.pdf (2002) BASE Show details 10 Speech Driven Facial Animation P. Kakumanu; R. Gutierrez-osuna; A. Esposito... In: http://www.cs.ucsb.edu/PUI/PUIWorkshop/PUI-2001/a8.pdf (2001) BASE Show details 11 Speech Driven Facial Animation P. Kakumanu; R. Gutierrez-Osuna; A. Esposito... In: http://vislab.cs.wright.edu/~anna/PDF-Files/ricardo.pdf (2001) BASE Show details 12 A Model Of CPS Translation And Interpretation Ramon Zatarain; R. Stansifer In: http://www.itculiacan.edu.mx/Pagina WEB Dr. RZC/Ramon/PDFs/A Model of CPS Trans & Interp.pdf BASE Show details 13 A Lexical–Semantic Approach to AVE Manuel Palomar In: http://clef.isti.cnr.it/2008/working_notes/ferrandez-paperCLEF2008.pdf BASE Show details 14 H5.2 [Information Interfaces and Presentation] User James W. Cooper In: http://labsoftware.com/flahdo/Reports/The Technology of Lexical Navigation.pdf BASE Show details 15 Fast error-tolerant search on very large texts Marjan Celikik; Holger Bast In: https://domino.mpi-inf.mpg.de/intranet/ag1/ag1publ.nsf/AuthorEditorIndividualView/efce206882c168ffc125755200522a25/$FILE/spelling-variants.pdf BASE Show details 16 Folks in Folksonomies: Social Link Prediction from Shared Metadata Rossano Schifanella; Alain Barrat In: http://informatics.indiana.edu/fil/Papers/wsdm141-schifanella.pdf BASE Show details 17 The contribution of the University of Alicante to AVE 2007 Óscar Ferrández; Daniel Micol; Rafael Muñoz; Manuel Palomar In: http://www.clef-campaign.org/2007/working_notes/ferrandezclef2007.pdf Abstract: In this paper we discuss a system used to recognize entailment relations within the AVE framework. This system creates representations of text snippets by means of a variety of lexical measures and syntactic structures. Once these representations have been created, we compare the corresponding to the text and to the hypothesis and we try to determine if there is an entailment relation between the text and the hypothesis. The hypotheses have been generated by merging the answers with their corresponding questions, applying a set of regular expression aimed at this issue. In the performed experiments our system obtained a maximum F-measure score of 0.40 and 0.39 for the development and test English corpora, respectively. Keyword: Answer Validation; Categories and Subject Descriptors H.3 [Information Storage and Retrieval; Experimentation; H.3.3 Information Search and Retrieval General Terms Algorithms; Lexical Similarity; Measurement; Performance Keywords Question Answering; Recognizing Textual Entailment; Semantic Similarity; Syntactic Trees URL: http://www.clef-campaign.org/2007/working_notes/ferrandezclef2007.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.3972 BASE Hide details 18 Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach In: http://www.www2011india.com/proceeding/companion/p343.pdf BASE Show details 19 Improved Count Suffix Trees for Natural Language Data Guido Sautter; Universität Karlsruhe (th; Cristina Abba... In: http://dbis.ipd.kit.edu/download/sautter_IDEAS08.pdf BASE Show details 20 star.edu.sg Jean-pierre Chevallet; Joo-hwee Lim; Diem Thi... In: http://ipal.i2r.a-star.edu.sg/doc/publications/chevallet07_CIKM_Domain.pdf BASE Show details Page: 1 2

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