ICRM: An Intelligent Citation Recommendation Mechanism Based on BERT and Weighted BoW Models | |
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學年 | 112 |
學期 | 2 |
出版(發表)日期 | 2024-04-18 |
作品名稱 | ICRM: An Intelligent Citation Recommendation Mechanism Based on BERT and Weighted BoW Models |
作品名稱(其他語言) | |
著者 | Chang, Chih-Yunga; Yang, Yu-Tinga; Zhang, Qiaoyuna; Lin, Yi-Tib; Roy, Diptendu Sinhac |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | Journal of Intelligent & Fuzzy Systems , vol. 46, pp. 10135-10150 |
摘要 | With the field of technology has witnessed rapid advancements, attracting an ever-growing community of researchers dedicated to developing theories and techniques. This paper proposes an innovative ICRM (Intelligent Citation Recommendation Mechanism), designed to automate the process of suggesting the appropriate number of citations for individual brackets within a document. The proposed ICRM comprises three phases: Coarse-grained Weighted Bag of Word (WCBW), Fine-grained SciBERT (FSB) and Citation Adjustment phases. Firstly, the WCBW phase employs TF-IDF to extract keywords from both target and candidate documents, forming vectors that capture word significance along with metadata like authorship, keywords, and titles. It aims to identify relevant papers from a database, serving as initial candidates for each bracket. Secondly, the FSB phase employs the SciBERT model to assess the similarity between candidate documents and the local context around brackets, enhancing the precision of recommendations. It refines this selection by analyzing candidate-document relationships within the proximity of the brackets. Lastly, the Citation Adjustment phase tackles overlapping citations and ensures that recommended citation numbers align with user-defined criteria, resolving issues of imbalance. The simulation results demonstrate that the proposed ICRM outperforms existing models significantly in terms of precision, recall and F1-score. |
關鍵字 | Citation recommendation;TF-IDF;weighted bag of word;BERT |
語言 | en |
ISSN | 1875-8967 |
期刊性質 | 國外 |
收錄於 | SCI |
產學合作 | |
通訊作者 | |
審稿制度 | 否 |
國別 | USA |
公開徵稿 | |
出版型式 | ,電子版 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126326 ) |
SDGS | 尊嚴就業與經濟發展,產業創新與基礎設施 |