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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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| 3 |
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 |
Automatic refinement of patent queries using concept importance predictors
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In: http://www.inf.usi.ch/phd/keikha/papers/fp099-mahdabi.pdf (2012)
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| 5 |
Rediscovering Missing Web Pages Using Link Neighborhood Lexical Signatures
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In: http://www.cs.odu.edu/%7Emln/pubs/jcdl11/jcdl2011-link-neighborhood.pdf (2011)
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| 6 |
Rediscovering Missing Web Pages Using Link Neighborhood Lexical Signatures
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In: http://www.cs.odu.edu/%7Emklein/publications/jcdl2011_sp_mklein.pdf (2011)
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| 7 |
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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| 8 |
NTCIR9-GeoTime Overview - Evaluating Geographic and Temporal Search: Round 2, In this proceedings
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/01-NTCIR9-OV-GEOTIME-GeyF.pdf (2011)
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| 9 |
Evaluating Methods to Rediscover Missing Web Pages from the Web Infrastructure
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In: http://www.cs.odu.edu/%7Emklein/publications/jcdl2010_mklein.pdf (2010)
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| 10 |
Hiroshima city university at evaluation subtask in the NTCIR-8 patent translation task
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings8/NTCIR/09-NTCIR8-PATMT-NanbaH.pdf (2010)
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| 11 |
M.: Application of Axiomatic Approaches to Crosslanguage Retrieval
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In: http://clef.isti.cnr.it/2009/working_notes/rkern-paperCLEF2009.pdf (2010)
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| 12 |
Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes
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In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009)
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| 13 |
Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
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In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009)
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| 14 |
Multiple retrieval models and regression models for prior art search
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In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009)
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| 15 |
Multiple retrieval models and regression models for prior art search
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In: http://hal.archives-ouvertes.fr/docs/00/41/18/35/PDF/technote.pdf (2009)
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| 16 |
Multiple retrieval models and regression models for prior art search
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In: http://arxiv.org/pdf/0908.4413v1.pdf (2009)
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| 17 |
LogCLEF 2009: the CLEF 2009 Multilingual Logfile Analysis Track Overview
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In: http://www.clef-campaign.org/2009/working_notes/LogCLEF-2009-Overview-Working-Notes-2009-09-14.pdf (2009)
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| 18 |
Issues with network address translation for SCTP
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In: http://www.sigcomm.org/sites/default/files/ccr/papers/2009/January/1496091-1496095.pdf (2009)
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| 19 |
German, French, English and Persian Retrieval Experiments at CLEF 2009
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In: http://clef.isti.cnr.it/2009/working_notes/tomlinson-paperCLEF2009.pdf (2009)
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Abstract:
We describe evaluation experiments conducted by submitting retrieval runs for the monolingual German, French, English and Persian (Farsi) information retrieval tasks of the Ad Hoc Track of the Cross-Language Evaluation Forum (CLEF) 2009. In the ad hoc retrieval tasks, the system was given 50 natural language queries, and the goal was to find all of the relevant records or documents (with high precision) in a par-ticular document set. We conducted diagnostic experiments with different techniques for matching word variations, comparing the performance on the robust Generalized Success@10 measure and the non-robust Mean Average Precision measure. The mea-sures generally agreed on the mean benefits of morphological techniques such as de-compounding and stemming, but generally disagreed on the blind feedback technique. Also, for each language, we submitted a sample of the first 10000 retrieved items to in-vestigate the frequency of relevant items at deeper ranks than the official judging depth of 60 for German, French and English and 80 for Persian. The results suggest that, on average, the percentage of relevant items assessed was less than 62 % for German, 27% for French, 35 % for English and 22 % for Persian.
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Keyword:
Categories and Subject Descriptors H.3 [Information Storage and Retrieval; English Retrieval; Experimentation Keywords German Retrieval; French Retrieval; H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval General Terms Measurement; Performance; Persian Retrieval; Robust Retrieval; Sampling
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URL: http://clef.isti.cnr.it/2009/working_notes/tomlinson-paperCLEF2009.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.520.2095
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| 20 |
Grobelnik: Story Link Detection with Entity Resolution. Semantic Search at WWW2009
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In: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-491/semse2009_24.pdf (2009)
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