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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
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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
	Abstract: Validate factoid description in text is the subtask of finding the textual entailment relation between the given hypothesis and unlabeled raw corpus. By means of integrating multiple natural language processing units, higher performance could be reasonably achieved. In this paper, we propose a context ranking model-based and trainable framework under the condition of part-of-speech tagging information is available. We first revise in-house word segmentation method via auto-deriving thesaurus from Wiki. Then a language-model-based passage retriever is used to find the initial retrieval result. The context ranking model is then extracting features and re-ranks the result. The official results indicate the effectiveness of our method. In terms of accuracy, our method achieves 39.27 % for Traditional Chinese FV task (second place).
	Keyword: Algorithms; Design; Documentation; Economics; Experimentation; General Terms Your general terms must be any of the following 16 designated terms; Human Factors; Languages; Legal Aspects; Management; Measurement; paraphrasing; passage; Performance; question answering; Reliability; Security; Standardization; Theory; Verification. Keywords Textual entailment
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.9732 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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