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Hits 281 – 300 of 329

281
MCU at NTCIR: Chinese Fact Validation via SVM Context Ranking
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/RITEVAL/19-NTCIR11-RITEVAL-WuY.pdf
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282
University of Alicante at GeoCLEF2005
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/ferrandez05.pdf
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283
Cross Lingual Question Answering using CINDI_QA
In: http://www.clef-campaign.org/2007/working_notes/HaddadCLEF2007.pdf
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284
REINA at CLEF 2007 Robust Task
In: http://www.clef-campaign.org/2007/working_notes/zazoCLEF2007.pdf
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285
Amharic-English Information Retrieval with Pseudo Relevance Feedback
In: http://www.clef-campaign.org/2007/working_notes/ArgawCLEF2007.pdf
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286
Dictionary-based Amharic-French Information Retrieval
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/argaw05.pdf
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287
Query Recovery of Short User Queries: On Query Expansion with Stopwords
In: http://www.cngl.ie/drupal/sites/default/files/papers3/Query%20Recovery%20of%20Short%20User%20Queries.pdf
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288
Indexing—Linguistic processing
In: http://doras.dcu.ie/16447/1/An_Investigation_of_Decompounding_for_Cross-Language_Patent_Search.pdf
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289
Abstract
In: http://www.grupocole.org/cole/library/ps/VilOakVil2007b.pdf
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290
Empirical Comparison of Language Workbenches
In: http://dsmforum.org/events/DSM13/Papers/Kelly.pdf
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291
Affect Aware Classroom Performance Systems
In: http://christopia.net/data/articles/projects/affective-cps/affective-cps.pdf
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292
CLEF-2006 CL-SR at Maryland: English and Czech
In: http://www.glue.umd.edu/~oard/papers/clef2006maryland.pdf
Abstract: The University of Maryland participated in the English and Czech tasks. For English, one monolingual run using only fields based on fully automatic transcription (the required condition) and one (otherwise identical) cross-language run using French queries were officially scored. Three contrastive runs in which manually generated metadata fields in the English collection were indexed were also officially scored to explore the applicability of recently developed “meaning matching ” approaches to cross-language retrieval of manually indexed interviews. Statistical translation models trained on European Parliament proceedings were found to be poorly matched to this task, yielding 38 % and 44 % of monolingual mean average precision for indexing based on automatic transcription and manually generated metadata, respectively. Weighted use of alternative translations yielded an apparent (but not statistically significant) 7 % improvement over one-best translation when bi-directional meaning matching techniques were employed. Results for Czech were not informative in this first year of that task, perhaps because no accommodations were made for the unique characteristics of Czech morphology.
Keyword: Cross-Language Information Retrieval; Experimentation Keywords Speech Retrieval; H.3 [Information Storage and Retrieval; H.3.3 Information Search and Retrieval General Terms Measurement; Performance; Statistical Translation
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.1668
http://www.glue.umd.edu/~oard/papers/clef2006maryland.pdf
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293
DFKI-LT at QAST 2007: Adapting QA . . .
In: http://www.clef-campaign.org/2007/working_notes/neumannCLEF2007.pdf
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294
Inside dropbox: Understanding personal cloud storage services
In: http://www.ict-mplane.eu/sites/default/files//public/publications/211p481.pdf
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295
General Terms
In: http://ssli.ee.washington.edu/people/bilmes/mypapers/assets06.pdf
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296
General Terms
In: http://www.dim.hcuge.ch/medgift/publications/ImageCLEF2006_GE_text.pdf
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297
Linked Relevance Feedback for the ImageCLEF Photo Task
In: http://www.clef-campaign.org/2007/working_notes/LarsonCLEF2007_Image.pdf
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298
Search and Retrieval
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/artiles05.pdf
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299
General Terms
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/petras05.pdf
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300
The bilingual system MUSCLEF
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/grauCLEF2006.pdf
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