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Q.: Scale based region growing for scene text detection
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In: http://www.stat.ucla.edu/%7Ejunhua.mao/papers/Scale_based_region_growing_ACM_MM13.pdf (2013)
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Author manuscript, published in "22nd International World Wide Web Conference (WWW'13) (2013)" XML Validation: Looking Backward Strongly Typed and Flexible XML Processing are not Incompatible
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In: http://hal.inria.fr/docs/00/83/77/65/PDF/p219-geneves.pdf (2013)
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Abstract:
One major concept in web development using XML is validation: checking whether some document instance fulfills structural constraints described by some schema. Over the last few years, there has been a growing debate about XML validation, and two main schools of thought emerged about the way it should be done. On the one hand, some advocate the use of validation with respect to complete grammarbased descriptions such as DTDs and XML Schemas. On the other hand, motivated by a need for greater flexibility, others argue for no validation at all, or prefer the use of lightweight constraint languages such as Schematron with the aim of validating only required constraints, while making schema descriptions more compositional and more reusable. Owing to a logical compilation, we show that validators used in each of these approaches share the same theoretical foundations, meaning that the two approaches are far from being incompatible. Our findings include that the logic in [2] can be seen as a unifying formal ground for the construction of robust and efficient validators and static analyzers using any of these schema description techniques. This reconciles the two approaches from both a theoretical and a practical perspective, therefore facilitating any combination of them.
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Keyword:
Categories and Subject Descriptors I.7.2 [Document and Text Processing; D.3.2 [Programming Languages; Document Preparation—markup languages; foundations; Language Classifications—extensible languages Keywords XML; schemata; validation
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URL: http://hal.inria.fr/docs/00/83/77/65/PDF/p219-geneves.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.400.1705
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CoALT: A Software for Comparing Automatic Labelling Tools, in "Language Resources and Evaluation LREC 2012
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/178_Paper.pdf (2012)
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| 4 |
Ontology-based semantic relatedness measures: Applications and calculation
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In: http://www.micai.org/rcs/2012_47/Ontology-based+Semantic+Relatedness+Measures_+Applications+and+Calculation.pdf (2012)
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| 5 |
Seeing the Best and Worst of Everything on the Web with a Two-level, Feature-rich Affect Lexicon
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In: http://www2012.wwwconference.org/proceedings/companion/p623.pdf (2012)
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| 6 |
Efficient in-memory top-k document retrieval
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In: http://goanna.cs.rmit.edu.au/~e76763/publications/cps12-sigir.pdf (2012)
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| 7 |
Modeling Click-through based Word-pairs for Web Search
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In: http://www2012.wwwconference.org/proceedings/companion/p537.pdf (2012)
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| 8 |
Automatic Text Analysis by Artificial Intelligence
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In: http://www.informatica.si/PDF/37-1/05_Mladenic-Automatic Text Analysis by Artificial Intell.pdf (2012)
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| 9 |
Alleviating Data Sparsity for Twitter Sentiment Analysis
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In: http://ceur-ws.org/Vol-838/paper_01.pdf (2012)
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| 10 |
A combined algorithm for layout analysis of arabic . . .
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In: http://research.ijcaonline.org/volume49/number23/pxc3881282.pdf (2012)
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| 11 |
Native language detection with ’cheap’ learner corpora
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In: http://ftp.cs.toronto.edu/pub/gh/Brooke+Hirst-LRCbook-2013.pdf (2011)
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| 12 |
Native language detection with ’cheap’ learner corpora
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In: http://ftp.cs.toronto.edu/pub/gh/Brooke+Hirst-LCR-2012-OLD.pdf (2011)
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| 13 |
Ukp at crosslink: Anchor text translation for cross-lingual link discovery
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/07-NTCIR9-CROSSLINK-KimJ.pdf (2011)
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| 14 |
Word Sense and Semantic Relations in Noun Compounds
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In: http://ww2.cs.mu.oz.au/~tim/pubs/tslp2013-ncwsd.pdf (2010)
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| 15 |
Automatic Modeling of User’s Real World Activities from the Web for Semantic IR
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In: http://km.aifb.kit.edu/ws/semsearch10/Files/modelling.pdf (2010)
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An Information-extraction system for Urdu—a resource-poor language
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In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010)
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| 17 |
The Effect of Different Context Representations on Word Sense Discrimination in Biomedical Texts
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In: http://www.d.umn.edu/~tpederse/Pubs/acm-ihi-2010-pedersen.pdf (2010)
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| 18 |
Visual Sentiment Analysis of Text Document Streams · 27
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In: http://bib.dbvis.de/uploadedFiles/authors_version.pdf (2010)
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| 19 |
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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| 20 |
Near Real Time Information Mining in Multilingual News
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In: http://www2009.org/proceedings/pdf/p1153.pdf (2009)
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