René's URL Explorer Experiment


Title: GitHub - SIMSON20/QuestionGeneration: Question Generation Papers Collection.

Open Graph Title: GitHub - SIMSON20/QuestionGeneration: Question Generation Papers Collection.

X Title: GitHub - SIMSON20/QuestionGeneration: Question Generation Papers Collection.

Description: Question Generation Papers Collection. Contribute to SIMSON20/QuestionGeneration development by creating an account on GitHub.

Open Graph Description: Question Generation Papers Collection. Contribute to SIMSON20/QuestionGeneration development by creating an account on GitHub.

X Description: Question Generation Papers Collection. Contribute to SIMSON20/QuestionGeneration development by creating an account on GitHub.

Opengraph URL: https://github.com/SIMSON20/QuestionGeneration

X: @github

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https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#questiongenerationpapers
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https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#2014-2019
paperhttp://tcci.ccf.org.cn/conference/2019/papers/183.pdf
paperhttps://arxiv.org/pdf/1807.03586.pdf
code&datasethttps://github.com/liyuanfang/mhqg
paperhttps://www.ijcai.org/proceedings/2019/0690.pdf
paperhttps://arxiv.org/pdf/1909.03716.pdf
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paperhttps://arxiv.org/pdf/1802.06842.pdf
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paperhttp://delivery.acm.org/10.1145/3230000/3227656/a32-faizan.pdf?ip=121.249.15.52&id=3227656&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2EEEBE655830483280%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1576633479_3d8bbce0205601e7782b45bac3dfe910
paperhttps://link.springer.com/chapter/10.1007/978-3-319-93417-4_46
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paperhttps://www.aclweb.org/anthology/E17-1036/
paperhttps://arxiv.org/pdf/1610.09935.pdf
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datasethttp://agarciaduran.org/
paperhttps://arxiv.org/pdf/1610.03807.pdf
paperhttps://link.springer.com/article/10.1007/s13218-015-0405-9
paperhttps://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-016-0089-6
paperhttps://myahya.org/publications/quiz-questions-from-kb-www2015.pdf
paperhttps://link.springer.com/article/10.1007/s13218-015-0405-9#Bib1
paperhttps://link.springer.com/chapter/10.1007%2F978-3-319-13704-9_5
paperhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.661.8622&rep=rep1&type=pdf
paperhttps://link.springer.com/chapter/10.1007/978-3-319-17966-7_7
https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#2008-2013
paperhttps://www.academia.edu/23715119/A_Similarity-based_Theory_of_Controlling_MCQ_Difficulty
paperhttps://link.springer.com/chapter/10.1007/978-3-642-45062-4_104
paperhttps://www.aclweb.org/anthology/D13-1009.pdf
paperhttp://journals.linguisticsociety.org/elanguage/dad/article/download/1480/1480-5849-1-PB.pdf
paperhttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6165258
paperhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.218.5149&rep=rep1&type=pdf
https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#2014-2019-1
paperhttps://arxiv.org/pdf/1905.03197.pdf
paperhttps://arxiv.org/pdf/1909.00140.pdf
paperhttps://arxiv.org/pdf/1908.11813.pdf
paperhttps://arxiv.org/pdf/1807.03586.pdf
paperhttps://ieeexplore.ieee.org/abstract/document/8914614
paperhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8851781
paperhttps://arxiv.org/pdf/1906.02622.pdf
codehttp://squash.cs.umass.edu/
paperhttps://arxiv.org/pdf/1906.06893.pdf
codehttps://github.com/Evan-Gao/conversational-QG
paperhttps://arxiv.org/pdf/1906.02525.pdf
datasethttps://www.cse.iitb.ac.in/%CC%83ganesh/HiQuAD/clqg/
paperhttps://arxiv.org/abs/1906.02916
paperhttps://www.aclweb.org/anthology/P19-1203
codehttps://github.com/ZJULearning/ReDR
datasethttps://stanfordnlp.github.io/coqa/
paperhttps://arxiv.org/pdf/1902.11049.pdf
paperhttps://arxiv.org/pdf/1807.03586.pdf
paperhttps://arxiv.org/pdf/1907.00607v1
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paperhttps://arxiv.org/pdf/1903.11207.pdf
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paperhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8636251
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paperhttps://arxiv.org/pdf/1805.11004.pdf
paperhttps://www.aclweb.org/anthology/N18-2090
codehttps://github.com/freesunshine0316/MPQG
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paperhttp://openaccess.thecvf.com/content_cvpr_2017/papers/Jain_Creativity_Generating_Diverse_CVPR_2017_paper.pdf
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paperhttps://arxiv.org/pdf/1603.06807.pdf
datasethttps://www.agarciaduran.org
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paperhttps://link.springer.com/content/pdf/10.1007%2F978-3-319-06569-4.pdf
https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#2008-2013-1
paperhttps://www.aclweb.org/anthology/W13-2114
paperhttp://journals.linguisticsociety.org/elanguage/dad/article/download/2151/2151-5850-1-PB.pdf
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paperhttp://journals.linguisticsociety.org/elanguage/dad/article/download/1480/1480-5849-1-PB.pdf
paperhttps://www.aclweb.org/anthology/C12-1030
datasethttp://www.questiongeneration.org/mediawik
paperhttps://journals.linguisticsociety.org/elanguage/dad/article/download/1469/1469-5846-1-PB.pdf
paperhttps://journals.linguisticsociety.org/elanguage/dad/article/download/1463/1463-5845-1-PB.pdf
paperhttp://journals.linguisticsociety.org/elanguage/dad/article/download/1439/1439-5842-1-PB.pdf
systemhttp://code.google.com/p/mrsqg/
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dataset4http://ir.mathcs.emory.edu/shared/
paperhttp://delivery.acm.org/10.1145/2390000/2382150/p742-becker.pdf?ip=121.249.15.170&id=2382150&acc=OPEN&key=BF85BBA5741FDC6E%2EEEBE655830483280%2E4D4702B0C3E38B35%2E6D218144511F3437&__acm__=1555379189_0c54ff1a69f0ba187c91fe6af5dc30ad
datasethttp://research.microsoft.com/~sumitb/questiongeneration
paperhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5992374
paperhttps://dl.acm.org/ft_gateway.cfm?id=2043139&ftid=1040278&dwn=1&CFID=63628366&CFTOKEN=5b421de94414c735-49C2A5B7-FB9F-496D-10A02377E2626CA2
paperhttps://dl.acm.org/ft_gateway.cfm?id=2043133&ftid=1040272&dwn=1&CFID=63749878&CFTOKEN=7eab4978630a47fb-63D759A8-B31D-FFEF-B52D7824959ACA75
paperhttps://lti.cs.cmu.edu/sites/default/files/research/thesis/2011/michael_heilman_automatic_factual_question_generation_for_reading_assessment.pdf
paperhttps://ivi.fnwi.uva.nl/tcs/QRgroup/DynaLearn//DeliverablesPublic/D3.3.pdf
paperhttps://s3.amazonaws.com/academia.edu.documents/30634122/QG2010-Proceedings.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1555335084&Signature=E6m0WudzGC83W02tfwTPWJjEMk4%3D&response-content-disposition=inline%3B%20filename%3DQG2010_The_Third_Workshop_on_Question_Ge.pdf#page=89
paperhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.232.3140&rep=rep1&type=pdf
paperhttp://oro.open.ac.uk/22343/1/QG2010-Proceedings.pdf#page=6
paperhttps://link.springer.com/content/pdf/10.1007%2F978-3-642-13388-6_9.pdf
paperhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.259.96&rep=rep1&type=pdf#page=50
paperhttp://oro.open.ac.uk/22324/1/PiwekStoyanchevQG2010.pdf
paperhttp://oro.open.ac.uk/22345/1/QGSTEC-INLG-10.pdf
paperhttps://oro.open.ac.uk/22343/1/QG2010-Proceedings.pdf#page=16
systemhttp://www.cs.cmu.edu/~ark/mheilman/qg-2010-workshop/
paperhttp://delivery.acm.org/10.1145/1860000/1858085/p609-heilman.pdf?ip=121.249.15.170&id=1858085&acc=OPEN&key=BF85BBA5741FDC6E%2EEEBE655830483280%2E4D4702B0C3E38B35%2E6D218144511F3437&__acm__=1555327623_8e5f7f68882d1656b2670488e6b18042
dataset1http://en.wikipedia.org
dataset2http://simple.wikipedia.org
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paperhttps://apps.dtic.mil/dtic/tr/fulltext/u2/a531042.pdf
paperhttps://www.isca-speech.org/archive/slate_2009/papers/sla9_057.pdf
https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#evaluation
paperhttps://arxiv.org/pdf/1904.02792.pdf
codehttps://github.com/hughbzhang/HUSE
paperhttps://arxiv.org/pdf/1902.11049.pdf
paperhttps://aclweb.org/anthology/P18-1060
codehttps://bit.ly/price-of-debiasing
paperhttps://www.aclweb.org/anthology/P02-1040
paperhttp://www.websemanticsjournal.org/index.php/ps/article/view/339/351
paperhttp://www.l2f.inesc-id.pt/~fmmb/wiki/uploads/Work/dict.refa.pdf
paperhttps://www.aclweb.org/anthology/W04-1013
https://patch-diff.githubusercontent.com/SIMSON20/QuestionGeneration#dataset
paperhttps://arxiv.org/pdf/1705.04146.pdf
codehttps://github.com/deepmind/AQuA
paperhttps://aclweb.org/anthology/D16-1054
codehttps://github.com/ysu1989/GraphQuestions
paperhttps://arxiv.org/pdf/1606.05250.pdf
datasethttps://stanford-qa.com
paperhttps://arxiv.org/pdf/1608.05457.pdf
datasethttps://tticnlp.github.io/who_did_what
paperhttp://papers.nips.cc/paper/5945-teaching-machines-to-read-and-comprehend.pdf
codehttp://www.github.com/deepmind/rc-data/
paperhttps://www.aclweb.org/anthology/D13-1020
datasethttp://research.microsoft.com/mct
paperhttps://www.aclweb.org/anthology/P16-2033
datasethttp://aka.ms/WebQSP
paperhttps://www.aclweb.org/anthology/D13-1160
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