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Hits 21 – 40 of 44

21	Fast error-tolerant search on very large texts
	Marjan Celikik; Holger Bast
	In: https://domino.mpi-inf.mpg.de/intranet/ag1/ag1publ.nsf/AuthorEditorIndividualView/efce206882c168ffc125755200522a25/$FILE/spelling-variants.pdf
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22	track
	Paulo Quaresma; Irene Rodrigues
	In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/quaresma05.pdf
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23	The contribution of the University of Alicante to AVE 2007
	Óscar Ferrández; Daniel Micol; Rafael Muñoz...
	In: http://www.clef-campaign.org/2007/working_notes/ferrandezclef2007.pdf
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24	Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach
	In: http://www.www2011india.com/proceeding/companion/p343.pdf
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25	Designing Delay Tolerant Applications for Low Bandwidth and Intermittently Connected Users: the aAQUA Experience
	In: http://www.it.iitb.ac.in/research/techreport/reports/43.pdf
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26	From CLEF to TrebleCLEF: promoting Technology Transfer for Multilingual Information Retrieval
	Martin Braschler; Giorgio Di Nunzio; Nicola Ferro...
	In: http://dis.shef.ac.uk/mark/publications/my_papers/DELOS_CLEFtoTrebleCLEF_20071116-d.pdf
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27	N-Grams Conflation Approach for Arabic Text
	Farag Ahmed; Andreas Nürnberger
	In: http://wwwiti.cs.uni-magdeburg.de/~fahmed/AhmeNue_N_Grams_Conflation_Approach_in_Arabic_Text.pdf
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28	What You See is What You Worry About: Errors – Real and Imagined
	Janet C Read
	In: http://www.bcs.org//upload/pdf/ewic_hc08_v2_paper19.pdf
	Abstract: This paper describes a text task in which children wrote their own stories in their regular school books, copied these stories onto digital paper using digital pens, had their handwritten stories recognized by the computer software, and then, looked at the text presented back to them and highlighted errors. There was considerable variability in the ability of the children to spot errors. Some children marked text as being wrong when in fact it was right. Most children spotted almost all the errors but were less likely to notice errors where incorrect but reasonable words had been presented back to them than where the words given by the recognizer were nonsense. In 13 instances, children had one of their own errors corrected by the interface but this was not noticed. The study highlighted several difficulties with the classification and reporting of errors in handwriting recognition based interfaces especially in the counting and classification of errors. Two new metrics for classifying and counting errors in this context are therefore proposed in this paper.
	Keyword: Design; Errors; Experimentation; Handwriting recognition; Human Factors; Keywords Children; Measurement; Performance; Standardization; Text input; Tolerance
	URL: http://www.bcs.org//upload/pdf/ewic_hc08_v2_paper19.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.9185
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29	TALP at MediaEval 2010 Placing Task: Geographical focus deterction of Flickr textual annotations
	Daniel Ferrés; Horacio Rodríguez
	In: http://www.multimediaeval.org/worknotes2010/UPC_Placing.pdf
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30	Web Page Summarization for Just-in-Time Contextual Advertising
	Andrei Z. Broder; Evgeniy Gabrilovich; Vanja Josifovski...
	In: http://aris.me/pubs/jit-journal.pdf
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31	What are the Most Eye-catching and Ear-catching Features in the Video? Implications for Video Summarization
	Yaxiao Song; Gary Marchionini; Chi Young Oh
	In: http://ils.unc.edu/%7Eyaxiaos/publication/wfp0100-song.pdf
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32	Improved Word List Ordering for Text Entry on Ambiguous Keypads
	Google Inc; Amphitheatre Pkwy; Peter Tarasewich...
	In: http://www.yorku.ca/mack/Nordichi2008-p152.pdf
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33	My Automated Conversation Helper (MACH): Helping People Improve Social Skills
	Mohammed (ehsan Hoque
	In: http://affect.media.mit.edu/pdfs/12.Hoque-ICMI-DC.pdf
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34	Cache-based Language Model Adaptation using Visual Attention for ASR in Meeting Scenarios
	Neil Cooke; Martin Russell
	In: http://www.eee.bham.ac.uk/cooken/CachebasedLMUsingVA_MLMI09_NeilCooke.pdf
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35	XOO7: Applying OO7 Benchmark to XML Query Processing Tools
	Ying Guang; Li Stéphane; Bressan Gillian...
	In: http://www.comp.nus.edu.sg/~leeml/papers/CIKM_v11.pdf
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36	MCU at NTCIR: Chinese Fact Validation via SVM Context Ranking
	In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/RITEVAL/19-NTCIR11-RITEVAL-WuY.pdf
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37	University of Alicante at GeoCLEF2005
	O. Ferrández; Z. Kozareva; A. Toral...
	In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/ferrandez05.pdf
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38	Query Recovery of Short User Queries: On Query Expansion with Stopwords
	Johannes Leveling; Gareth J. F. Jones
	In: http://www.cngl.ie/drupal/sites/default/files/papers3/Query%20Recovery%20of%20Short%20User%20Queries.pdf
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39	Indexing—Linguistic processing
	Johannes Leveling; Walid Magdy; Gareth J. F. Jones
	In: http://doras.dcu.ie/16447/1/An_Investigation_of_Decompounding_for_Cross-Language_Patent_Search.pdf
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40	Empirical Comparison of Language Workbenches
	Steven Kelly
	In: http://dsmforum.org/events/DSM13/Papers/Kelly.pdf
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