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1	A Visualizable Evidence-Driven Approach for Authorship Attribution
	Ding; Steven H. H.; Fung...
	In: https://dl.acm.org/citation.cfm?doid=2744298.2699910 (2015)
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2	Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond
	Casteleyn, Sven; Garrigós Fernández, Irene; Mazón López, José-Norberto. - : Digital Library, 2015
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3	On the localness of software
	Zhaopeng Tu; Zhendong Su; Prem Devanbu
	In: http://macbeth.cs.ucdavis.edu/cache-model.pdf (2014)
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4	Approximate Semantic Matching of Events for the Internet of Things
	Hasan, Souleiman; Curry, Edward. - : ACM, 2014
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5	Q.: Scale based region growing for scene text detection
	Junhua Mao; Houqiang Li; Wengang Zhou...
	In: http://www.stat.ucla.edu/%7Ejunhua.mao/papers/Scale_based_region_growing_ACM_MM13.pdf (2013)
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6	Gigatensor: scaling tensor analysis up by 100 times - algorithms and discoveries
	U Kang; Evangelos Papalexakis; Abhay Harpale...
	In: http://www.cs.cmu.edu/~christos/PUBLICATIONS/kdd12-gigatensor.pdf (2012)
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7	Distributional Semantics with Eyes: Using Image Analysis to Improve Computational Representations of Word Meaning
	Elia Bruni; Marco Baroni
	In: http://clic.cimec.unitn.it/marco/publications/bruni-etal-acmmm-2012.pdf (2012)
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8	Integrating document clustering and . . .
	SHENGHUO ZHU, ,et al.
	In: http://users.cis.fiu.edu/~taoli/pub/a14-wang.pdf (2011)
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9	Folks in folksonomies: social link prediction from shared metadata
	Rossano Schifanella; Alain Barrat
	In: http://hal.archives-ouvertes.fr/docs/00/42/98/86/PDF/wsdm141-schifanella.pdf (2010)
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10	Semantic lexicon adaptation for use in query interpretation
	Ana-maria Popescu; Patrick Pantel; Gilad Mishne
	In: http://www.ra.ethz.ch/cdstore/www2010/www/p1167.pdf (2010)
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11	Classifying latent user attributes in Twitter
	Delip Rao; David Yarowsky; Abhishek Shreevats. - 2010
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12	Classifying latent user attributes in twitter
	Delip Rao; David Yarowsky; Abhishek Shreevats...
	In: https://csc-869-mlog.googlecode.com/files/p37-rao.pdf (2010)
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13	Spatiotemporal mapping of Wikipedia concepts
	Adrian Popescu; Gregory Grefenstette
	In: http://comupedia.org/adrian/articles/jcdl75-popescu.pdf (2010)
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14	An Information-extraction system for Urdu—a resource-poor language
	Smruthi Mukund; Rohini Srihari; Erik Peterson
	In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010)
	Abstract: There has been an increase in the amount of multilingual text on the Internet due to the proliferation of news sources and blogs. The Urdu language, in particular, has experienced explosive growth on the Web. Text mining for information discovery, which includes tasks such as identifying topics, relationships and events, and sentiment analysis, requires sophisticated natural language processing (NLP). NLP systems begin with modules such as word segmentation, part-of-speech tagging, and morphological analysis and progress to modules such as shallow parsing and named entity tagging. While there have been considerable advances in developing such comprehensive NLP systems for English, the work for Urdu is still in its infancy. The tasks of interest in Urdu NLP includes analyzing data sources such as blogs and comments to news articles to provide insight into social and human behavior. All of this requires a robust NLP system. The objective of this work is to develop an NLP infrastructure for Urdu that is customizable and capable of providing basic analysis on which more advanced information extraction tools can be built. This system assimilates resources from various online sources to facilitate improved named entity tagging and Urdu-to-English transliteration. The annotated data required to train the learning models used here is acquired by standardizing the currently limited resources available for Urdu. Techniques
	Keyword: Algorithms; bootstrap learning; Categories and Subject Descriptors; Experimentation; General General Terms; H.0 [Information Systems; Languages; named entity tagging; part of speech tagging; Performance Additional Key Words and Phrases; shallow parsing; text mining; transliterations; Urdu natural language processing
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.7220 http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf
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15	Transliteration for resource-scarce languages
	Manoj K. Chinnakotla; Om P. Damani; Avijit Satoskar
	In: http://www.cse.iitb.ac.in/~damani/papers/TALIP10/transliterationTALIP10.pdf (2010)
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16	MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
	Delphine Bernhard
	In: http://clef.isti.cnr.it/2009/working_notes/morpho-papers/bernhard-paperCLEF2009.pdf (2009)
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17	OpinionMiner: a novel machine learning system for web opinion mining and extraction
	Wei Jin; Hung Hay Ho; Rohini K. Srihari
	In: http://www.cedar.buffalo.edu/~rohini/Papers/KDD_Jin.pdf (2009)
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18	Word sense disambiguation: a survey
	Roberto Navigli
	In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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19	Sentiment analysis of blogs by combining lexical knowledge with text classification
	Prem Melville; Wojciech Gryc; Wolfson Bldg...
	In: http://www.prem-melville.com/publications/pooling-multinomials-kdd09.pdf (2009)
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20	A 2-poisson model for probabilistic coreference of named entities for improved text retrieval
	Seung-hoon Na; Hwee Tou Ng
	In: http://www.comp.nus.edu.sg/~nght/pubs/sigir09.pdf (2009)
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