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Daedalus at SemEval-2014 Task 9: Comparing Approaches for Sentiment Analysis in Twitter
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In: http://oa.upm.es/35358/1/INVE_MEM_2014_192846.pdf (2014)
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Daedalus at SemEval-2014 Task 9: Comparing Approaches for Sentiment Analysis in Twitter
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In: http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval2014035.pdf (2014)
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MIRACLE at Ad-Hoc CLEF 2005: Merging and Combining Without Using a Single Approach
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In: http://oa.upm.es/11940/1/2006_CLEF2005_LNCS_AdHoc_%28pub%29.pdf (2006)
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MIRACLE at ImageCLEFphoto 2007: Evaluation of Merging Strategies for Multilingual and Multimedia Information Retrieval
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In: http://clef.isti.cnr.it/2007/working_notes/villenaCLEF2007ImagePHOTO.pdf
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Evaluation of MIRACLE approach results for CLEF 2003 1
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In: http://www.clef-campaign.org/2003/wn_web/15.pdf
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First Experiments on Multilingual Opinion Analysis
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C2/MOAT/17-NTCIR7-MOAT-Villena-RomanJ.pdf
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Universidad Politécnica de Madrid
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In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/menoyo05.pdf
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1 Universidad Politécnica de Madrid
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In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-GoniMenoyoEt2006.pdf
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Abstract:
This paper presents the 2006 MIRACLE’s team approach to the AdHoc Information Retrieval track. The experiments for this campaign keep on testing our IR approach. First, a baseline set of runs is obtained, including standard components: stemming, transforming, filtering, entities detection and extracting, and others. Then, a extended set of runs is obtained using several types of combinations of these baseline runs. The improvements introduced for this campaign have been a few ones: we have used an entity recognition and indexing prototype tool into our tokenizing scheme, and we have run more combining experiments for the robust multilingual case than in previous campaigns. However, no significative improvements have been achieved. For the this campaign, runs were submitted for the following languages and tracks:
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Keyword:
Information Retrieval; more keywords; Trie Indexing
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URL: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-GoniMenoyoEt2006.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.3542
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MIRACLE’s Approach to Multilingual Web Retrieval
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In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/fernandez05.pdf
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Universidad Politécnica de Madrid
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In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/gonzalez05.pdf
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MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts
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In: http://clef.isti.cnr.it/2008/working_notes/Villena2-paperCLEF2008_MIRACLE_Vid2RSS2008.pdf
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MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval
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In: http://www.clef-campaign.org/2007/working_notes/villenaCLEF2007ImageMED.pdf
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MIRACLE Retrieval Experiments with East Asian Languages
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In: http://www.mt-archive.info/NTCIR-2005-Villena.pdf
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MIRACLE-GSI at ImageCLEFphoto 2009: Comparing Clustering vs. Classification for Result Reranking
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In: http://clef.isti.cnr.it/2009/working_notes/Villena-paperCLEF2009_MIRACLE_ImageCLEFphoto2009.pdf
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MIRACLE-GSI at ImageCLEFphoto 2008: Experiments on Semantic and Statistical Topic Expansion
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In: http://clef.isti.cnr.it/2008/working_notes/Villena1-paperCLEF2008_MIRACLE_ImageCLEFphoto2008.pdf
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MIRACLE at ImageCLEFmed 2008: Evaluating Strategies for Automatic Topic Expansion
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In: http://clef.isti.cnr.it/2008/working_notes/Lana1-paperCLEF2008_MIRACLE_ImageCLEFmed2008.pdf
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MIRACLE Retrieval Experiments with East Asian Languages
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In: http://oa.upm.es/4691/1/Menoyo_12.pdf
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Expanding queries through Word Sense Disambiguation *
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In: http://www.dia.fi.upm.es/~agarcia/publications/archivos/LNCS15.pdf
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