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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
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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
Abstract: This paper describes the participation of MIRACLE in NTCIR 2005 CLIR task. Although our group has a strong background and long expertise in Computational Linguistics and Information Retrieval applied to European languages and using Latin and Cyrillic alphabets, this was our first attempt on East Asian languages. Our main goal was to study the particularities and distinctive characteristics of Japanese, Chinese and Korean, specially focusing on the similarities and differences with European languages, and carry out research on CLIR tasks which include those languages. The basic idea behind our participation in NTCIR is to test if the same familiar linguistic-based techniques may also applicable to East Asian languages, and study the necessary adaptations.
Keyword: Asian languages; Cross-language Information Retrieval Task; linguistic approach; MIRACLE; NTCIR; precision; segmenter
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.542.7348
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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