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1
Daedalus at SemEval-2014 Task 9: Comparing Approaches for Sentiment Analysis in Twitter
In: http://oa.upm.es/35358/1/INVE_MEM_2014_192846.pdf (2014)
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2
Daedalus at SemEval-2014 Task 9: Comparing Approaches for Sentiment Analysis in Twitter
In: http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval2014035.pdf (2014)
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3
MIRACLE at Ad-Hoc CLEF 2005: Merging and Combining Without Using a Single Approach
In: http://oa.upm.es/11940/1/2006_CLEF2005_LNCS_AdHoc_%28pub%29.pdf (2006)
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4
MIRACLE at ImageCLEFphoto 2007: Evaluation of Merging Strategies for Multilingual and Multimedia Information Retrieval
In: http://clef.isti.cnr.it/2007/working_notes/villenaCLEF2007ImagePHOTO.pdf
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5
Evaluation of MIRACLE approach results for CLEF 2003 1
In: http://www.clef-campaign.org/2003/wn_web/15.pdf
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6
First Experiments on Multilingual Opinion Analysis
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C2/MOAT/17-NTCIR7-MOAT-Villena-RomanJ.pdf
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7
Universidad Politécnica de Madrid
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/menoyo05.pdf
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8
1 Universidad Politécnica de Madrid
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-GoniMenoyoEt2006.pdf
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9
MIRACLE’s Approach to Multilingual Web Retrieval
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/fernandez05.pdf
Abstract: For MIRACLE participation on WebClef 2005, a set of independent indexes was constructed for each top level domain of the EuroGOV collection. Each of these indexes contains information extracted from the document, like URL, title, keywords, detected named entities or HTML headers. These indexes are queried to obtain partial document rankings, which are combined with various relative weights to test the value of each index. The trie based indexing and retrieval engine developed by the MIRACLE team is now fully functional and has been adapted to the WebClef environment and employed in this campaign. Other tools, such as the Named Entities Recognizer based on a finite automaton, have also been developed.
Keyword: Information Retrieval; known- item search; Named Entity; Trie Indexing; World Wide Web
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.4092
http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/fernandez05.pdf
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10
Universidad Politécnica de Madrid
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/gonzalez05.pdf
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11
MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts
In: http://clef.isti.cnr.it/2008/working_notes/Villena2-paperCLEF2008_MIRACLE_Vid2RSS2008.pdf
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12
MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval
In: http://www.clef-campaign.org/2007/working_notes/villenaCLEF2007ImageMED.pdf
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13
MIRACLE Retrieval Experiments with East Asian Languages
In: http://www.mt-archive.info/NTCIR-2005-Villena.pdf
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14
MIRACLE-GSI at ImageCLEFphoto 2009: Comparing Clustering vs. Classification for Result Reranking
In: http://clef.isti.cnr.it/2009/working_notes/Villena-paperCLEF2009_MIRACLE_ImageCLEFphoto2009.pdf
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15
MIRACLE-GSI at ImageCLEFphoto 2008: Experiments on Semantic and Statistical Topic Expansion
In: http://clef.isti.cnr.it/2008/working_notes/Villena1-paperCLEF2008_MIRACLE_ImageCLEFphoto2008.pdf
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16
MIRACLE at ImageCLEFmed 2008: Evaluating Strategies for Automatic Topic Expansion
In: http://clef.isti.cnr.it/2008/working_notes/Lana1-paperCLEF2008_MIRACLE_ImageCLEFmed2008.pdf
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17
MIRACLE Retrieval Experiments with East Asian Languages
In: http://oa.upm.es/4691/1/Menoyo_12.pdf
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18
Expanding queries through Word Sense Disambiguation *
In: http://www.dia.fi.upm.es/~agarcia/publications/archivos/LNCS15.pdf
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