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1
Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes
In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009)
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2
Visual Attention in Spoken Human-Robot Interaction
In: http://www.coli.uni-saarland.de/~masta/hri09.pdf (2009)
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3
Visual Attention in Spoken Human-Robot Interaction
In: http://www.coli.uni-saarland.de/~crocker/documents/staudte-hri09.pdf (2009)
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4
Word sense disambiguation: a survey
In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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5
Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009)
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6
Multiple retrieval models and regression models for prior art search
In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009)
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7
Multilingual Wikipedia, Summarization, and Information Trustworthiness
In: http://storm.cis.fordham.edu/~filatova/PDFfiles/FilatovaCLIR2009.pdf (2009)
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8
Multiple retrieval models and regression models for prior art search
In: http://hal.archives-ouvertes.fr/docs/00/41/18/35/PDF/technote.pdf (2009)
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9
German, French, English and Persian Retrieval Experiments at CLEF 2009
In: http://clef.isti.cnr.it/2009/working_notes/tomlinson-paperCLEF2009.pdf (2009)
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10
Automatic Facial Expression Recognition on A Single 3D Face by Exploring Shape Deformation
In: http://mmlab.ie.cuhk.edu.hk/archive/2009/Gong_Face_ACM_MM.pdf (2009)
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11
Automatic facial expression recognition on a single 3d face by exploring shape deformation
In: http://www-scf.usc.edu/%7Eboqinggo/Paper/Gong_Face_ACM_MM_small.pdf (2009)
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12
G.: IXA at CLEF 2008 Robust-WSD Task: using Word Sense Disambiguation for (Cross Lingual) Information Retrieval
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1226564935/publikoak/otegi-paperCLEF2008.pdf (2009)
Abstract: This paper describes the participation of the IXA NLP group at the CLEF 2008 Robust-WSD Task. This is our first time at CLEF, and we participated at both the monolingual (English) and the bilingual (Spanish to English) subtasks. We tried several query and document expansion and translation strategies, with and without the use of the word sense disambiguation results provided by the organizers. All expansions and translations were done using the English and Spanish wordnets as provided by the organizers and no other resource was used. We used Indri as the search engine, which we tuned in the training part. Our main goal was to improve (Cross Lingual) Information Retrieval results using WSD information, and we attained improvements in both mono and bilingual subtasks, although the improvement was only significant for the bilingual subtask. As a secondary goal, our best systems ranked 4th overall and 3rd overall in the monolingual and bilingual subtasks, respectively.
Keyword: Categories and Subject Descriptors H.3 [Information Storage and Retrieval; CLIR; Experimentation Keywords Robust Retrieval; H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; I.2 [Artificial Intelligence; I.2.7 Natural Language Processing General Terms Measurement; Performance; Query Expansion; Structured Queries; Word Sense Disambiguation
URL: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1226564935/publikoak/otegi-paperCLEF2008.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.2083
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