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Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes
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In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009)
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Visual Attention in Spoken Human-Robot Interaction
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In: http://www.coli.uni-saarland.de/~masta/hri09.pdf (2009)
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Visual Attention in Spoken Human-Robot Interaction
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In: http://www.coli.uni-saarland.de/~crocker/documents/staudte-hri09.pdf (2009)
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Word sense disambiguation: a survey
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In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
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In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009)
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Multiple retrieval models and regression models for prior art search
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In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009)
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Multilingual Wikipedia, Summarization, and Information Trustworthiness
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In: http://storm.cis.fordham.edu/~filatova/PDFfiles/FilatovaCLIR2009.pdf (2009)
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Abstract:
Wikipedia is used as a corpus for a variety of text processing applications. It is especially popular for information selec-tion tasks, such as summarization feature identification, an-swer generation/verification, etc. Many Wikipedia entries (about people, events, locations, etc.) have descriptions in several languages. Often Wikipedia entry descriptions cre-ated in different languages exhibit differences in length and content. In this paper we show that the pattern of infor-mation overlap across the descriptions written in different languages for the same Wikipedia entry fits well the pyra-mid summary framework, i.e., some information facts are covered in the Wikipedia entry descriptions in many lan-guages, while others are covered in a handful number of descriptions. This phenomenon leads to a natural summa-rization algorithm which we present in this paper. Accord-ing to our evaluation, the generated summaries have a high level of user satisfaction. Moreover, the discovered pyramid structure of Wikipedia entry descriptions can be used for Wikipedia information trustworthiness verification.
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Keyword:
Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval; Content Analysis and Indexing General Terms Measurement; Experimentation; Human Factors Keywords Wikipedia; multilinguality; summarization
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URL: http://storm.cis.fordham.edu/~filatova/PDFfiles/FilatovaCLIR2009.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.553.7816
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Multiple retrieval models and regression models for prior art search
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In: http://hal.archives-ouvertes.fr/docs/00/41/18/35/PDF/technote.pdf (2009)
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German, French, English and Persian Retrieval Experiments at CLEF 2009
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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
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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
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In: http://www-scf.usc.edu/%7Eboqinggo/Paper/Gong_Face_ACM_MM_small.pdf (2009)
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G.: IXA at CLEF 2008 Robust-WSD Task: using Word Sense Disambiguation for (Cross Lingual) Information Retrieval
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In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1226564935/publikoak/otegi-paperCLEF2008.pdf (2009)
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