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Automatic Multiple Choice Question (MCQ) Generation from Text

Optimizing the Correction of MCQ test answer sheets using Digital Image Processing. ... Ontology-Based Multiple-Choice Question Generation.Tahani Alsubait1?Bijan ...



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An Experimental Evaluation of Automatically Generated Multiple ...
We used the MCQ generator developed by Alsubait et al. [1] to automatically generate MCQs using the aforementioned ontologies as inputs. The tool gener- ates 
Multiple Choice Question Generation Utilizing An Ontology
This technique generates questions that help achieve understanding at the second level of. Bloom's taxonomy (Bloom et al., 1956). We also generate multiple 
Multiple Choice Question Generation Utilizing An Ontology
This technique generates questions that help achieve understanding at the second level of. Bloom's taxonomy (Bloom et al., 1956). We also generate multiple 
Artificial Intelligence System in Aid of Pedagogical Engineering for ...
Agarwal & Mannem proposed a method for automatically generating gap-fill questions. Mannem, 'Automatic gap-fill question generation from text books', in.
Automatic Generation of Multiple Choice Questions - Estudo Geral
A system capable of generating questions from educational sources like textbooks can be an effective way to complement their study. Having the possibility of 
Master's Thesis Automatic Generation of Form-based Grammar ...
The need for automatic exercise generation has long since been acknowledged in. Instructed Second Language Acquisition in order to meet the demand for 
Tapping into the Power of Automatic Question Generation
The system finds the informative sentences from the document and generates gap-fill questions from them by first blanking keys from the sentences and then 
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods ...
The distractor generation task focuses on gen- erating incorrect but plausible options for ob- jective questions such as fill-in-the-blank 
Automatic Question Generation with Pre-trained Masked Language ...
In this project, we study the task of generating a question from a given passage-answer pair using pre-trained masked language models. Ask-.
Automatic Factual Question Generation from Text
Specifically, we focus on automatically generating factual WH questions. Our goal is to create an automated system that can take as input a text 
Automatic Question Generation and Student Answer Assessment in ...
Their approach also goes through all four steps of a typical gap-fill question generation process: first, it selects informative sentences from the book using a 
Judging the Quality of Automatically Generated Gap-fill Question ...
Step 1 - Sentence Selection: To generate gap-fill questions, a set of meaningful sentences are needed first. The sentences can be selected from