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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
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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
Abstract:
Decompounding has been found to improve information retrieval (IR) effectiveness in general domains for languages such as German or Dutch. We investigate if cross-language patent retrieval can profit from decompounding. This poses two challenges: i) There may be few resources such as parallel corpora available for training an machine translation system for a compounding language. ii) Patents have a specific writing style and vocabulary (“patentese”), which may affect the performance of decompounding and translation methods. Experiments on data from the CLEF-IP 2010 task show that decompounding patents for translation can overcome out-of-vocabulary problems (OOV) and that decompounding improves IR performance significantly for small training corpora.
Keyword:
Decompounding
;
Experimentation
;
Measurement Keywords Patent Retrieval
;
Performance
URL:
http://doras.dcu.ie/16447/1/An_Investigation_of_Decompounding_for_Cross-Language_Patent_Search.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.9651
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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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