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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
Abstract: We present four approaches to the Amharic- French bilingual track at CLEF 2005. All experiments use a dictionary based approach to translate the Amharic queries into French Bags-of-words, but while one approach uses word sense discrimination on the translated side of the queries, the other one includes all senses of a translated word in the query for searching. We used two search engines: The SICS experimental engine and Lucene, hence four runs with the two approaches. Non-content bearing words were removed both before and after the dictionary lookup. TF/IDF values supplemented by a heuristic function was used to remove the stop words from the Amharic queries and two French stopwords lists were used to remove them from the French translations. In our experiments, we found that the SICS search engine performs better than Lucene and that using the word sense discriminated keywords produce a slightly better result than the full set of non discriminated keywords.
Keyword: Amharic; Cross-Language Information Retrieval 1 Background; Experimentation Keywords Question answering; Languages—Query Languages General Terms Languages; Managment; Measurement; Performance
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.1749
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
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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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