Revolutionizing subjective assessments: A three-pronged comprehensive approach with NLP and deep learning

Article Computer Science, Information Systems

Biomedical extractive question answering based on dynamic routing and answer voting

Zhongjian Hu et al.

Summary: A new question answering model, ADRAV, is proposed to utilize hidden layer knowledge through dynamic routing and consider span similarity between answers through answer voting. Experimental results show significant performance improvement on multiple datasets.

INFORMATION PROCESSING & MANAGEMENT (2023)

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Article Computer Science, Theory & Methods

Measuring the short text similarity based on semantic and syntactic information

Jiaqi Yang et al.

Summary: The study highlights the importance of determining the similarity between short texts in natural language processing applications and proposes a new method based on semantic and syntactic information to enhance the accuracy of short text similarity calculations by addressing polysemy and capturing syntactic structure.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

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Article Computer Science, Information Systems

Subjective Answers Evaluation Using Machine Learning and Natural Language Processing

Muhammad Farrukh Bashir et al.

Summary: Subjective paper evaluation is challenging to conduct manually, and limited understanding and acceptance of data present significant obstacles when using AI to analyze subjective papers. Various machine learning and natural language processing techniques were utilized to automatically evaluate descriptive answers, with the Word mover's distance (WMD) performing better than cosine similarity.Training a machine learning model to predict answer grades yielded an accuracy of 88% without multinomial naive bayes (MNB) model, further reducing error rate by 1.3% when MNB was included.

IEEE ACCESS (2021)

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Review Education & Educational Research

Automatic question generation and answer assessment: a survey

Bidyut Das et al.

Summary: This paper presents a survey of automatic question generation and assessment strategies, aiming to summarize state-of-the-art techniques and emphasize the importance of assessment systems.

RESEARCH AND PRACTICE IN TECHNOLOGY ENHANCED LEARNING (2021)

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Article Computer Science, Artificial Intelligence