Submit Search
Upload
AI Based Question Answering System
•
0 likes
•
3 views
IRJET Journal
Follow
https://www.irjet.net/archives/V9/i6/IRJET-V9I6545.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 4
Download now
Download to read offline
Recommended
IRJET- An Automated Approach to Conduct Pune University’s In-Sem Examination
IRJET- An Automated Approach to Conduct Pune University’s In-Sem Examination
IRJET Journal
Automated Question Paper Generator And Answer Checker Using Information Retri...
Automated Question Paper Generator And Answer Checker Using Information Retri...
Sheila Sinclair
AUTOMATIC QUESTION GENERATION USING NATURAL LANGUAGE PROCESSING
AUTOMATIC QUESTION GENERATION USING NATURAL LANGUAGE PROCESSING
IRJET Journal
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET Journal
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET Journal
Online Examination and Evaluation System
Online Examination and Evaluation System
IRJET Journal
Enhancing Video Understanding: NLP-Based Automatic Question Generation
Enhancing Video Understanding: NLP-Based Automatic Question Generation
IRJET Journal
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPER
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPER
vivatechijri
Recommended
IRJET- An Automated Approach to Conduct Pune University’s In-Sem Examination
IRJET- An Automated Approach to Conduct Pune University’s In-Sem Examination
IRJET Journal
Automated Question Paper Generator And Answer Checker Using Information Retri...
Automated Question Paper Generator And Answer Checker Using Information Retri...
Sheila Sinclair
AUTOMATIC QUESTION GENERATION USING NATURAL LANGUAGE PROCESSING
AUTOMATIC QUESTION GENERATION USING NATURAL LANGUAGE PROCESSING
IRJET Journal
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET Journal
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET Journal
Online Examination and Evaluation System
Online Examination and Evaluation System
IRJET Journal
Enhancing Video Understanding: NLP-Based Automatic Question Generation
Enhancing Video Understanding: NLP-Based Automatic Question Generation
IRJET Journal
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPER
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPER
vivatechijri
IRJET- Semantic Question Matching
IRJET- Semantic Question Matching
IRJET Journal
DEPT CONF (1) (1).pptx
DEPT CONF (1) (1).pptx
vijayalakshmi257551
Vikalp - Automatic multiple choice questions generator
Vikalp - Automatic multiple choice questions generator
IRJET Journal
Automated Context-based Question-Distractor Generation using Extractive Summa...
Automated Context-based Question-Distractor Generation using Extractive Summa...
IRJET Journal
Automatic Grading of Handwritten Answers
Automatic Grading of Handwritten Answers
IRJET Journal
IRJET - Automated Essay Grading System using Deep Learning
IRJET - Automated Essay Grading System using Deep Learning
IRJET Journal
50120130406007
50120130406007
IAEME Publication
Sentiment Analysis using Naïve Bayes, CNN, SVM
Sentiment Analysis using Naïve Bayes, CNN, SVM
IRJET Journal
Recuriter Recommendation System
Recuriter Recommendation System
IRJET Journal
IRJET- Factoid Question and Answering System
IRJET- Factoid Question and Answering System
IRJET Journal
Knowledge Graph and Similarity Based Retrieval Method for Query Answering System
Knowledge Graph and Similarity Based Retrieval Method for Query Answering System
IRJET Journal
Convolutional recurrent neural network with template based representation for...
Convolutional recurrent neural network with template based representation for...
IJECEIAES
Hybrid-Training & Placement Management with Prediction System
Hybrid-Training & Placement Management with Prediction System
IRJET Journal
IRJET - Conversion of Unsupervised Data to Supervised Data using Topic Mo...
IRJET - Conversion of Unsupervised Data to Supervised Data using Topic Mo...
IRJET Journal
IRJET- Automated Exam Question Generator using Genetic Algorithm
IRJET- Automated Exam Question Generator using Genetic Algorithm
IRJET Journal
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET Journal
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET Journal
A simplified classification computational model of opinion mining using deep ...
A simplified classification computational model of opinion mining using deep ...
IJECEIAES
Survey on Techniques for Predictive Analysis of Student Grades and Career
Survey on Techniques for Predictive Analysis of Student Grades and Career
IRJET Journal
De carlo rizk 2010 icelw
De carlo rizk 2010 icelw
Ting Yuan, Ed.D.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
More Related Content
Similar to AI Based Question Answering System
IRJET- Semantic Question Matching
IRJET- Semantic Question Matching
IRJET Journal
DEPT CONF (1) (1).pptx
DEPT CONF (1) (1).pptx
vijayalakshmi257551
Vikalp - Automatic multiple choice questions generator
Vikalp - Automatic multiple choice questions generator
IRJET Journal
Automated Context-based Question-Distractor Generation using Extractive Summa...
Automated Context-based Question-Distractor Generation using Extractive Summa...
IRJET Journal
Automatic Grading of Handwritten Answers
Automatic Grading of Handwritten Answers
IRJET Journal
IRJET - Automated Essay Grading System using Deep Learning
IRJET - Automated Essay Grading System using Deep Learning
IRJET Journal
50120130406007
50120130406007
IAEME Publication
Sentiment Analysis using Naïve Bayes, CNN, SVM
Sentiment Analysis using Naïve Bayes, CNN, SVM
IRJET Journal
Recuriter Recommendation System
Recuriter Recommendation System
IRJET Journal
IRJET- Factoid Question and Answering System
IRJET- Factoid Question and Answering System
IRJET Journal
Knowledge Graph and Similarity Based Retrieval Method for Query Answering System
Knowledge Graph and Similarity Based Retrieval Method for Query Answering System
IRJET Journal
Convolutional recurrent neural network with template based representation for...
Convolutional recurrent neural network with template based representation for...
IJECEIAES
Hybrid-Training & Placement Management with Prediction System
Hybrid-Training & Placement Management with Prediction System
IRJET Journal
IRJET - Conversion of Unsupervised Data to Supervised Data using Topic Mo...
IRJET - Conversion of Unsupervised Data to Supervised Data using Topic Mo...
IRJET Journal
IRJET- Automated Exam Question Generator using Genetic Algorithm
IRJET- Automated Exam Question Generator using Genetic Algorithm
IRJET Journal
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET Journal
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET Journal
A simplified classification computational model of opinion mining using deep ...
A simplified classification computational model of opinion mining using deep ...
IJECEIAES
Survey on Techniques for Predictive Analysis of Student Grades and Career
Survey on Techniques for Predictive Analysis of Student Grades and Career
IRJET Journal
De carlo rizk 2010 icelw
De carlo rizk 2010 icelw
Ting Yuan, Ed.D.
Similar to AI Based Question Answering System
(20)
IRJET- Semantic Question Matching
IRJET- Semantic Question Matching
DEPT CONF (1) (1).pptx
DEPT CONF (1) (1).pptx
Vikalp - Automatic multiple choice questions generator
Vikalp - Automatic multiple choice questions generator
Automated Context-based Question-Distractor Generation using Extractive Summa...
Automated Context-based Question-Distractor Generation using Extractive Summa...
Automatic Grading of Handwritten Answers
Automatic Grading of Handwritten Answers
IRJET - Automated Essay Grading System using Deep Learning
IRJET - Automated Essay Grading System using Deep Learning
50120130406007
50120130406007
Sentiment Analysis using Naïve Bayes, CNN, SVM
Sentiment Analysis using Naïve Bayes, CNN, SVM
Recuriter Recommendation System
Recuriter Recommendation System
IRJET- Factoid Question and Answering System
IRJET- Factoid Question and Answering System
Knowledge Graph and Similarity Based Retrieval Method for Query Answering System
Knowledge Graph and Similarity Based Retrieval Method for Query Answering System
Convolutional recurrent neural network with template based representation for...
Convolutional recurrent neural network with template based representation for...
Hybrid-Training & Placement Management with Prediction System
Hybrid-Training & Placement Management with Prediction System
IRJET - Conversion of Unsupervised Data to Supervised Data using Topic Mo...
IRJET - Conversion of Unsupervised Data to Supervised Data using Topic Mo...
IRJET- Automated Exam Question Generator using Genetic Algorithm
IRJET- Automated Exam Question Generator using Genetic Algorithm
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
A simplified classification computational model of opinion mining using deep ...
A simplified classification computational model of opinion mining using deep ...
Survey on Techniques for Predictive Analysis of Student Grades and Career
Survey on Techniques for Predictive Analysis of Student Grades and Career
De carlo rizk 2010 icelw
De carlo rizk 2010 icelw
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
5G and 6G refer to generations of mobile network technology, each representin...
5G and 6G refer to generations of mobile network technology, each representin...
archanaece3
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
josephjonse
Passive Air Cooling System and Solar Water Heater.ppt
Passive Air Cooling System and Solar Water Heater.ppt
amrabdallah9
21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university
Mohd Saifudeen
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
soginsider
What is Coordinate Measuring Machine? CMM Types, Features, Functions
What is Coordinate Measuring Machine? CMM Types, Features, Functions
VIEW
Circuit Breakers for Engineering Students
Circuit Breakers for Engineering Students
kannan348865
Adsorption (mass transfer operations 2) ppt
Adsorption (mass transfer operations 2) ppt
jigup7320
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
drjose256
handbook on reinforce concrete and detailing
handbook on reinforce concrete and detailing
AshishSingh1301
engineering chemistry power point presentation
engineering chemistry power point presentation
sj9399037128
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Dr.Costas Sachpazis
Filters for Electromagnetic Compatibility Applications
Filters for Electromagnetic Compatibility Applications
Mathias Magdowski
Working Principle of Echo Sounder and Doppler Effect.pdf
Working Principle of Echo Sounder and Doppler Effect.pdf
SkNahidulIslamShrabo
Intro to Design (for Engineers) at Sydney Uni
Intro to Design (for Engineers) at Sydney Uni
R. Sosa
Autodesk Construction Cloud (Autodesk Build).pptx
Autodesk Construction Cloud (Autodesk Build).pptx
Mustafa Ahmed
CLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference Modal
SwarnaSLcse
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
kalpana413121
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
EMMANUELLEFRANCEHELI
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
IJECEIAES
Recently uploaded
(20)
5G and 6G refer to generations of mobile network technology, each representin...
5G and 6G refer to generations of mobile network technology, each representin...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
Passive Air Cooling System and Solar Water Heater.ppt
Passive Air Cooling System and Solar Water Heater.ppt
21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
What is Coordinate Measuring Machine? CMM Types, Features, Functions
What is Coordinate Measuring Machine? CMM Types, Features, Functions
Circuit Breakers for Engineering Students
Circuit Breakers for Engineering Students
Adsorption (mass transfer operations 2) ppt
Adsorption (mass transfer operations 2) ppt
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
handbook on reinforce concrete and detailing
handbook on reinforce concrete and detailing
engineering chemistry power point presentation
engineering chemistry power point presentation
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Filters for Electromagnetic Compatibility Applications
Filters for Electromagnetic Compatibility Applications
Working Principle of Echo Sounder and Doppler Effect.pdf
Working Principle of Echo Sounder and Doppler Effect.pdf
Intro to Design (for Engineers) at Sydney Uni
Intro to Design (for Engineers) at Sydney Uni
Autodesk Construction Cloud (Autodesk Build).pptx
Autodesk Construction Cloud (Autodesk Build).pptx
CLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference Modal
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
AI Based Question Answering System
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2697 AI Based Question Answering System Dr Manimala S1, Yellapu Prahasith2, Fiza N Shaikh3, Vivek R Navale4, Dhanush Srinath5 2,3,4,5 B.E Student, Dept. of Computer Science Engineering, JSS Science & Technology University, Mysore, India - 570006 1 Faculty, Dept. of Computer Science Engineering, JSS Science & Technology University, Mysore, India - 570006 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Academic assessments are the only available metrics of evaluating student knowledge today. But the current procedure of manually setting questions and evaluating student answers tend to be hectic, expensive and time-consuming. Human intervention in the entire process consumes instructors’ valuable time and can end up being biased intentionally or unintentionally. Thegoalofthisproject is to build an automated software module to provide an inexpensive and a more effective alternative to the existing examination system. The software will assess students’ knowledge in the particular courses by generating potential questions and evaluating the student’s understanding of the course. Natural language Processing Toolkit is used to understand and interpret the user answers along side some open-source machine learning modules which ensure the software performance is accurate and reliable. Key Words: Subjective Question-Answer Generation, Objective Question-Answer Generation, Subjective Answer Evaluation, Keywords Extraction 1. INTRODUCTION Examination systems were introduced into the education system to understand and evaluate learner’s understanding of the course but over the course of time, examination system have become competitive in nature and no longer tends to serve the purpose of evaluating the learner’s understanding and provisioning him to improve. Newer technologies and inventive approaches for teaching courses have arrived but there haven’t been any measures taken to ensure proper testing of knowledge, without it being biased or unfair. A good assessment should test the knowledge of the learner thoroughly in the course and should evaluate learner’s understanding by fair means. It must also ensure that the conduction of the assessment is undergone in a malpractice free environment, thus ensuring the assessment is fair. With the help of Natural Language Processing Toolkit the learner responses and subject material is processed by the machine learning models, that extract key words like important headings and phrasesfromthesubjectmaterial to frame questions around the same. For objective questions, a pre-trained machine learning module is used to generate distractor options which are close to the correct answer, to increase the difficulty of the question and challenge the learner. The learner understanding is evaluated by checking for the similarity between the correct answer and learner response using mathematical vector notations. ` 2. LITERATURE SURVEY 2.1 TEXT SUMMARISATION USING PRE-TRAINED TRANSFORMER Urvashi Kandelwal, Kevin Clark, Dan Jurafsky, and Lukasz Kaiser's review paper "Sample EfficientTextSummarisation with a Single Pre-Trained Transformer" centres around the summarisation of a huge document of text into a smaller meaning that conveys the context and abstract of the document. 2.2 COSINE SIMILARITY TO CALCULATE TEXT RELEVANCE BETWEEN TWO DOCUMENTS D Gunawan, C A Sembiring, and M A Budiman'sreviewpaper "The application of Cosine Similarity to Calculate Text Relevance betweenTwoDocuments"examinestherelevance of two documents using text similarity measures such as cosine similarity. To determinethesimilarityofonlinepages, this study employs a classificationtechniqueknownasNaïve Bayes. 2.3 EXTRACTIVE TEXT SUMMARISATION USING DEEP NATURAL LANGUAGE FUZZY PROCESSING "Extractive Text Summarisation Using Deep Natural Language Fuzzy Processing" is a review paper. The work of Neelima G, Veeramanickam M.R.M, Sergey Gorbachev, and Sandip A. Kale focuses on distilling a document's meaning into a manageable number of sentences. It employs fuzzy logic, with the Naïve-Bayes technique being used to identify the most essential sentences in a given document.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2698 2.4 UNSUPERVISED KEYPHRASE EXTRACTION USING MASKED DOCUMENT EMBEDDING Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, and Xin Cao's review paper "A Masked Document Embedding Rank Approach for Unsupervised Key-Extraction" focuses on extracting keywords from a huge document of text. The keywords are generated using a BERT-based model. It extracts essential phrases by selectively masking terms in the manuscript depending on their importance and use. 3. PROPOSED WORK The proposed solution is a two interfaced platform, for the two user groups, tutor and learner. The question generation is initiated with a tutor uploading the subject material. Two types of assessments are generated for the uploadedsubject material, objective and subjective questions. The questions are generated using the software and once the questions are generated, the answer pairs for all the above questions are produced. Additionally, for MCQ type questions, distractor options that are similar to the actual answers are created to challenge the learner. After generation of the question- answer pair, the user responses are collected and evaluated with the ideal answers generated for respective questions. Based on how similar the response and the ideal answers are, a score is generated for the student to assess their performance in the assessment. 3.1 SYSTEM ARCHITECTURE Figure 1 - Flow Chart A. Question Generation – The subject material uploaded by the tutor is processed using Natural Language Processing techniques and questions are generated from the subject material based on their relevance with the subject. B. Answer Generation – The answers to the formed questions are identified from the corpus and generated, which will be later utilized to compare with the learner’s responses. C. Answer Evaluation – The answers evaluation is performed by measuring the similaritydistance betweenthe ideal answers generated and learner responses. 3.2 ML MODELS AND PARAMETERS The question-answer generation is performed using open- source Google BERT Model also known as the hugging face model. It performs keyword extraction on the obtained text corpus. Alongside this open-source model, other open- source pre trained models like race-distractors model, multitask qg-ag model and sv2 model are used for the processing of the natural language and to predict the question and answers from the text corpus. 3.3 METHODOLOGY 3.3.1SUBJECTIVEQUESTIONANSWERGENERATION Figure 2 - Subjective Question Answer Generation
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2699 The corpus is first divided into chunks and then text summarization is performed. The summarized text is later tokenized as sentences, which form the parse tree. Simultaneously the model also generates keywords using BERT model and sv2 model which areusedasweightson the parse tree and based on the keywords and weights on sub tree, subjective questions are generated by appending the keyword to one of the existing 7 question frames that suit the keyword and context better. The ideal answer is then generated from the parse tree. 3.3.2 OBJECTIVE QUESTION ANSWERGENERATION The corpus first undergoes text summarization using BERT model and then the summarized text undergoes keyword extraction to find potential answers to generate objective questions. Once relevant keywords are extracted suing sv2 model, questions are generated by omitting the keywords in the sentences. Multiple options are created to that question using race-distractors which created key words from the given corpus that have high relevance and similarity to the answer. Figure 3 - Objective Question Answer Generation 3.3.3 SUBJECTIVE ANSWER EVALUATION Subjective score is generated using 3 similarity measures to ensure that the score generated is absolutely credible and doesn’t deviate much from the human score.The3similarity measures used are Synset similarity to check the similarity of words with their synonyms, Cosine similarity to vectorize the words and check for text angle difference, Jaccard similarity to ensure the main keywords aren’t missing from the user response. 4. RESULTS The proposed model was implemented over 100 sample subject material with varying noise and subject content. The questions generated for the following subject material dbmst.txt are: Figure 4 - Subjective Questions generated on following sample corpus dbms.txt Figure 5 – Objective Questions generated on same corpus The model accuracy in evaluating the learner knowledge to the posed questions is compared and contrasted below. Figure 6 – Line graph of actual score vs Model score on the following sample corpus link 5. CONCLUSIONS The proposed AI Based Question answering system aims to reduce the bias in the assessment system and create fair assessment that help learner understand the course better. But the proposed system is limited to subjects that don’t involve diagrams or mathematical formulation and derivations. Also, evaluation of literature could pose challenges to the system as such evaluations are based on perspectives and can vary from person to person.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2700 The model can be improved by using new age technologies like Image-Alt to frame questions on diagrams by understanding the meaning of images in the corpus. Also, Neural Network Models can be utilized to identify patterns in learner assessment approach and give a personalized training recommendation for the learner where analysis is performed on learner’s weak conceptsandmoresupport can be provided to the learner to understand those concepts better. ACKNOWLEDGEMENT It gives us immense pleasure to write an acknowledgement to this project, a contribution of all the people who helped to realize it. We extend our deep regards to Dr. S.B. Kivade, Honorable Principal of JSS Science and Technology University, for providing an excellent environment for our education and his encouragement throughout our stay in college. We would like to convey our heartfelt thanks to our HOD, Dr. M.P. Pushpalatha, for giving us the opportunity to embark on this topic. We would like to thank our project guide, Dr. Manimala S for their invaluable guidance and enthusiastic assistance and for providing us support and constructive suggestions for the betterment of the project, without which this project wouldnothavebeenpossible. We appreciate the timely help and kind cooperation of our lecturers, other staff members of the department and our seniors, with whom we have come up all the way during our project work without whose support this project would not have been a success. Finally, we would like to thank our friends for providing numerous insightful suggestions. We also convey our sincere thanks to all those who have contributed to this learning opportunity at every step ofthis project. REFERENCES [1] Sijimol P J, Surekha Mariam Varghese, Handwritten Short Answer Evaluation System (HSAES). [2] Md. Motiur Rahman, Fazlul Hsan Siddiqui, NLP-based Automatic Answer Script Evaluation. [3] Ghader Kurdi, Jared Leo, Bijlan Parsia, UlliSattler,Salam Al-Emari, A Systematic Review of Automatic Question Generation for Educational Purposes. [4] Holy Lovenia, Felix Limanta, Agus Gunawan, Automatic Question-Answers Pairs Generation From Text. [5] Bidyut Das, Mukta Majumder, Santanu Phadikar, Arif Ahmed Sekh, Automatic Question Generation and Answer Assessment: A Survey. BIOGRAPHIES Dr Manimala S, Professor at JSS Science & Technology University, Dept. of Computer Science Engineering Yellapu Prahasith Student of JSS Science & Technology University, Dept. of Computer Science Engineering Fiza N Shaikh Student of JSS Science & Technology University, Dept. of Computer Science Engineering Vivek R Navale Student of JSS Science & Technology University, Dept. of Computer Science Engineering Dhanush Srinath Student of JSS Science & Technology University, Dept. of Computer Science Engineering
Download now