Automated M.C.Q’S generator system

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dc.contributor.authorSalman Ahmad Fayyaz
dc.contributor.authorMuhammad Sheheryar
dc.contributor.authorAli Zafar
dc.date.accessioned2018-01-12T05:03:24Z
dc.date.available2018-01-12T05:03:24Z
dc.date.issued2016
dc.descriptionSupervised by: Dr Mazhar Javeden_US
dc.description.abstractIn this project, we propose an automatic generation system of multiple-choice cloze questions from English texts. Experimental knowledge is necessary to produce appropriate questions, so machine learning is introduced to acquire knowledge from existing questions. To generate the questions from texts automatically, the system extracts appropriate sentences for questions from texts based on Preference Learning, estimates a blank part based on Conditional Random Field, and Generates Distracters based on statistical patterns of existing questions. Experimental results show our method is workable for selecting appropriate sentences and blank part. Moreover, our method is appropriate to generate the available distractersen_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/2439
dc.language.isoenen_US
dc.publisherUniversity of Management and Technology Lahoreen_US
dc.subjectPreference Learningen_US
dc.subjectConditional Random Fielden_US
dc.subjectBSCS THESISen_US
dc.titleAutomated M.C.Q’S generator systemen_US
dc.titleAutomated m.c.q's generator systemen_us
dc.typeThesisen_US
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