References validation in scholarly articles using RoBERTa
This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.
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Brac University
2023
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| Acesso em linha: | http://hdl.handle.net/10361/21226 |
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10361-212262023-09-25T21:06:11Z References validation in scholarly articles using RoBERTa Nasib, Abdullah Umar Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Reference validation Semantic similarity analysis Contextual similarity analysis RoBERTa K similar search Natural language processing Natural language processing (Computer science) This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023. Cataloged from the PDF version of the project report. Includes bibliographical references (pages 36-37). In the recent era of technological advancement, evaluating references and assignments and validating those are some of the primary processes to justify the authenticity of a research work in the academic sector. The purpose of referencing is to ensure ethical writing and to make the search easier in a particular area for the reader when it is accurate. The traditional way to cross-check the validations is to check them manually one by one, which is above argument, equivalent to an- other work, and sometimes so tiring that the reader loses interest in reading the original paper. The target of this research paper is to introduce a semi-automatic digital system that enables researchers to justify the references used in a research paper without doing it manually. In this model, we have prepared a sentence trans- former named RoBERTa for generating embedding. We sanitize and preprocess an entire research paper and cross-match that against a reference query using the proposed model in terms of finding semantic and contextual similarity. The result shows mostly similar contexts based on the similarity check. We have compared the embedding of query and user input articles with the help of K similar search function. Our model outperformed the existing BERT and SBERT models’ output in accuracy with a F1 score of 0.777, which establishes the fact that the model can be used in real life with a simple query of text from research articles. Abdullah Umar Nasib M. Computer Science and Engineering 2023-09-25T06:25:45Z 2023-09-25T06:25:45Z 2023 2023-05 Project report ID 19166009 http://hdl.handle.net/10361/21226 en Brac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 47 pages application/pdf Brac University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Reference validation Semantic similarity analysis Contextual similarity analysis RoBERTa K similar search Natural language processing Natural language processing (Computer science) |
| spellingShingle |
Reference validation Semantic similarity analysis Contextual similarity analysis RoBERTa K similar search Natural language processing Natural language processing (Computer science) Nasib, Abdullah Umar References validation in scholarly articles using RoBERTa |
| description |
This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023. |
| author2 |
Alam, Md. Golam Rabiul |
| author_facet |
Alam, Md. Golam Rabiul Nasib, Abdullah Umar |
| format |
Project report |
| author |
Nasib, Abdullah Umar |
| author_sort |
Nasib, Abdullah Umar |
| title |
References validation in scholarly articles using RoBERTa |
| title_short |
References validation in scholarly articles using RoBERTa |
| title_full |
References validation in scholarly articles using RoBERTa |
| title_fullStr |
References validation in scholarly articles using RoBERTa |
| title_full_unstemmed |
References validation in scholarly articles using RoBERTa |
| title_sort |
references validation in scholarly articles using roberta |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21226 |
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AT nasibabdullahumar referencesvalidationinscholarlyarticlesusingroberta |
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