E-ISSN 0976-2833 | ISSN 0975-3583
 

Research Article 


Google Bert- Multiple Choice Question Generation on Ontology Base

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava.

Abstract
Data mining is the ability to identify useful information from raw data and process the useful information in a separate list. The process of extracting useful information from big data source is known as ontology. In current days the semantic web is becoming a more trending topic for a lot of new research inventions. Multiple Choice Question Generation is one of the hot topics which are becoming a challenge for semantic web developers. By using this ontology model, a lot of researchers try to proposed MCQ item generation by giving sample phrases or sentences, or paragraphs for the system and try to generate the MCQ automatically based on those phrases. Hence in this proposed paper, we try to design an MCQ item generation system and we try to label that system as OntoQue. The proposed application is evaluated and tested using Deep Learning NLP pre-trained model like Google BERT, through which we can able to extract the MCQ generation for a summary. In the primitive methods, we try to use Long Short-Term Memory (LSTM) networks in order to learn order dependence in a sequence manner, but this is failed to achieve 100 % accuracy in training bulk amount of data and there is also a problem in LSTM like vanishing gradient problem through which some quantity of data vanishes while training the machine. For testing the proposed application we try to use the Stanford question answering dataset, in which the data set combines more than 1one lakh questions in SQuAD1.1 with over fifty five thousand unanswerable questions written adversarial by crowd workers to look similar to answerable ones. The proposed model can accurately train with this dataset and this can try to generate the desired result for any type of text summary which we try to enter for the system.

Key words: Long Short-Term Memory, Deep Learning, Google BERT, Ontology Model


 
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How to Cite this Article
Pubmed Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. Google Bert- Multiple Choice Question Generation on Ontology Base. J Cardiovasc. Dis. Res.. 2021; 12(4): 730-740. doi:10.31838/jcdr.2021.12.04.82


Web Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. Google Bert- Multiple Choice Question Generation on Ontology Base. http://www.jcdronline.org/?mno=100277 [Access: July 26, 2021]. doi:10.31838/jcdr.2021.12.04.82


AMA (American Medical Association) Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. Google Bert- Multiple Choice Question Generation on Ontology Base. J Cardiovasc. Dis. Res.. 2021; 12(4): 730-740. doi:10.31838/jcdr.2021.12.04.82



Vancouver/ICMJE Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. Google Bert- Multiple Choice Question Generation on Ontology Base. J Cardiovasc. Dis. Res.. (2021), [cited July 26, 2021]; 12(4): 730-740. doi:10.31838/jcdr.2021.12.04.82



Harvard Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava (2021) Google Bert- Multiple Choice Question Generation on Ontology Base. J Cardiovasc. Dis. Res., 12 (4), 730-740. doi:10.31838/jcdr.2021.12.04.82



Turabian Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. 2021. Google Bert- Multiple Choice Question Generation on Ontology Base. Journal of Cardiovascular Disease Research, 12 (4), 730-740. doi:10.31838/jcdr.2021.12.04.82



Chicago Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. "Google Bert- Multiple Choice Question Generation on Ontology Base." Journal of Cardiovascular Disease Research 12 (2021), 730-740. doi:10.31838/jcdr.2021.12.04.82



MLA (The Modern Language Association) Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava. "Google Bert- Multiple Choice Question Generation on Ontology Base." Journal of Cardiovascular Disease Research 12.4 (2021), 730-740. Print. doi:10.31838/jcdr.2021.12.04.82



APA (American Psychological Association) Style

Gadi Himaja , Sri Harshitha Gadu , Kamisetty Venkata Harshith , Muvvala Yamini , Sundaraneedi Sai Sravya , K.Vivek Murahari , Sravanthi Mannava (2021) Google Bert- Multiple Choice Question Generation on Ontology Base. Journal of Cardiovascular Disease Research, 12 (4), 730-740. doi:10.31838/jcdr.2021.12.04.82





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