Web-Based Turkish Automatic Short-Answer Grading System

İnce, Ebru Yılmaz; Kutlu, Akif

doi:10.2991/nlpr.d.210212.001

Cited by 2 publications

(2 citation statements)

References 16 publications

(18 reference statements)

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“…This approach allowed users to connect with computers by getting specific information as answers, rather than entire documents. Information retrieval expert Ince, E.Y., Kutlu, A. present a web based Turkish Question Answering technique in their 2021 paper [9]. Disambiguation improvements in the semantic Question Answering system were described by Hazrina et al [10].…”

Section: Question Answering (Qa) Approachmentioning

confidence: 99%

Hybrid Approach for Automated Answer Scoring Using Semantic Analysis in Long Hindi Text

Deepender,

Walia

2024

RIA

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In the case of the Hindi language, the technology that underpins automated scoring is still in its infancy in terms of its development. These systems have shown much better accuracy and reliability in their operations Nowadays, several studies are being carried out in addition to saving individuals money and time. with the intention of providing nuanced feedback on grammatical as well as semantic problems. This paper's main objective is to develop a hybrid methodology for automated answer scoring using semantic analysis for long Hindi text. Deep Learning and Recurrent Neural Network method have been taken into consideration throughout this research study. The ability of recurrent neural networks, to learn the temporal dependency of sequential input gives them an edge over feed forward neural networks, when it comes to the scoring of musical responses. Research work has integrated PSO and Roberta to improve accuracy. Based on the research findings, the recommended approach has been shown to outperform the currently recognized revolutionary techniques. It shows that the Hybrid PSO-Roberta based deep learning strategy performs better than the old system in terms of precision, recall, and f1 score. It reduce the amount of paperwork they need to do, teachers won't have to be concerned about any evaluation issues going away either.

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Section: Question Answering (Qa) Approachmentioning

confidence: 99%

Hybrid Approach for Automated Answer Scoring Using Semantic Analysis in Long Hindi Text

Deepender,

Walia

2024

RIA

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“…In 2021, Ince and Kutlu [9] conducted a study entitled "Web-Based Turkish Automatic Short Answer Grading System" which focused on research on the Turkish Language for grading short answer questions. The steps used in this research are: instructor module, stored exams, questions, answer keys, exam grades, student module, exam module, student answer, similarity calculations, calculated question point, and total exam grade, as shown in Figure 2.…”

Section: Figure 1 Research Flow By Uswatun Hasanahmentioning

confidence: 99%

Automatic Short Answer Grading System in Indonesian Language Using BERT Machine Learning

Wijaya¹

2021

RIA

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A system capable of automatically grading short answers is a very useful tool. The system can be created using machine learning algorithms. In this study, a machine system using BERT is proposed. BERT is an open-source system that is set to English by default. The use of languages other than English Language is a challenge to be implemented in BERT. This study proposes a novel system to implement Indonesian Language in the BERT system for automatic grading of short answers. The experimental results were measured using two measuring instruments: Cohen's Kappa coefficient and the Confusion Matrix. The result of measuring the BERT output of the implemented system has a Cohen Kappa coefficient of 0.75, a precision of 0.94, a recall of 0.96, a Specificity of 0.76 and an F1 Score of 0.95. Based on the measurement results, it can be seen that the implementation of the automatic short answer grading system in Indonesian Language using BERT machine learning has been successful.

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Web-Based Turkish Automatic Short-Answer Grading System

Cited by 2 publications

References 16 publications

Hybrid Approach for Automated Answer Scoring Using Semantic Analysis in Long Hindi Text

Hybrid Approach for Automated Answer Scoring Using Semantic Analysis in Long Hindi Text

Automatic Short Answer Grading System in Indonesian Language Using BERT Machine Learning

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