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Resolving XML Semantic Ambiguity
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In: Proceedings of the 18th International Conference on Extending Database Technology, EDBT 2015, Brussels, Belgium, March 23-27, 2015. ; 18th International Conference on Extending Database Technology, EDBT 2015 ; https://hal-univ-pau.archives-ouvertes.fr/hal-01909107 ; 18th International Conference on Extending Database Technology, EDBT 2015, Mar 2015, Brussels, Belgium. pp.277-288, ⟨10.5441/002/edbt.2015.25⟩ (2015)
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| 2 |
Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond
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Efficient in-memory top-k document retrieval
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In: http://goanna.cs.rmit.edu.au/~e76763/publications/cps12-sigir.pdf (2012)
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| 4 |
Language independent ranked retrieval with NeWT
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In: http://goanna.cs.rmit.edu.au/~e76763/publications/cys11-adcs.pdf (2011)
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| 5 |
Word sense disambiguation: a survey
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In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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| 6 |
Generalizing from relevance feedback using named entity wildcards
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In: http://www.cs.cmu.edu/%7Ealad/papers/lad-cikm07.pdf (2007)
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Textual Analysis of Stock Market Prediction Using Financial News Articles
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In: http://www.robschumaker.com/publications/ACM TOIS - Textual Analysis of Stock Market Prediction Using Financial News Articles.pdf (2006)
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| 8 |
Stabilizers: a modular checkpointing abstraction for concurrent functional programs
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In: http://www.cs.purdue.edu/homes/lziarek/icfp06.pdf (2006)
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| 9 |
Analysis of Lexical Signatures for Finding Lost or Related Documents
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In: http://clgiles.ist.psu.edu/papers/SIGIR-2002-lexical-signatures.pdf (2002)
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Abstract:
A lexical signature of a web page is often su cient for nding the page, even if its URL has changed. We conduct a largescale empirical study of eight methods for generating lexical signatures, including Phelps and Wilensky's [14] original proposal (PW) and seven of our own variations. We examine their performance on the web and on a TREC data set, evaluating their ability both to uniquely identify the original document and to locate other relevant documents if the original is lost. Lexical signatures chosen to minimize document frequency (DF) are good at unique identi cation but poor at nding relevant documents. PW works well on the relatively small TREC data set, but acts almost identically to DF on the web, which contains billions of documents. Term-frequency-based lexical signatures (TF) are very easy to compute and often perform well, but are highly dependent on the ranking system of the search engine used. In general, TFIDF-based method and hybrid methods (which combine DF with TF or TFIDF) seem to be the most promising candidates for generating e ective lexical signatures.
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Keyword:
Experimentation; Measurement; Performance; Reliability; Retrieval|Information Storage General Terms Algorithms; Veri cation
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URL: http://clgiles.ist.psu.edu/papers/SIGIR-2002-lexical-signatures.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.5983
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| 10 |
Meaningful term extraction and discriminative term selection in text categorization via unknown-word methodology
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In: http://www.cs.toronto.edu/~gh/Courses/2528/Readings/2002f/Lai+Wu.pdf (2002)
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| 11 |
Speech Driven Facial Animation
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In: http://www.cs.ucsb.edu/PUI/PUIWorkshop/PUI-2001/a8.pdf (2001)
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| 12 |
Speech Driven Facial Animation
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In: http://vislab.cs.wright.edu/~anna/PDF-Files/ricardo.pdf (2001)
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| 13 |
Lexical Ambiguity and Information Retrieval
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In: http://www.folli.uva.nl/CD/2000/notes/krovetz/tois-lex-ambiguity.ps (2000)
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| 14 |
Lexical Ambiguity and Information Retrieval
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In: ftp://ftp.nj.nec.com/pub/krovetz/tois-lex-ambiguity.ps (1992)
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| 15 |
Decentralizing a global naming service for improved performance and fault tolerance
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In: http://www-db.stanford.edu/~manku/quals/zpapers/89-naming.pdf.gz (1989)
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| 16 |
A Model Of CPS Translation And Interpretation
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In: http://www.itculiacan.edu.mx/Pagina WEB Dr. RZC/Ramon/PDFs/A Model of CPS Trans & Interp.pdf
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| 17 |
ABSTRACT Generalizing from Relevance Feedback using Named Entity Wildcards
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In: http://nyc.lti.cs.cmu.edu/yiming/Publications/alad-cikm07.pdf
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| 18 |
A Lexical–Semantic Approach to AVE
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In: http://clef.isti.cnr.it/2008/working_notes/ferrandez-paperCLEF2008.pdf
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| 19 |
Fast error-tolerant search on very large texts
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In: https://domino.mpi-inf.mpg.de/intranet/ag1/ag1publ.nsf/AuthorEditorIndividualView/efce206882c168ffc125755200522a25/$FILE/spelling-variants.pdf
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| 20 |
The contribution of the University of Alicante to AVE 2007
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In: http://www.clef-campaign.org/2007/working_notes/ferrandezclef2007.pdf
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