{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:29:49Z","timestamp":1743121789434,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031657931"},{"type":"electronic","value":"9783031657948"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T00:00:00Z","timestamp":1723680000000},"content-version":"vor","delay-in-days":227,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This study presents the system developed by team NRK for SubTask I of the Field of Research Classification (FoRC) - NLSP 2024. The task focuses on single-label, multi-class classification of general scholarly papers. Our approach exploits the capabilities of various pre-trained BERTopology models, combined with a straightforward ensemble voting scheme to enhance classification performance. The proposed system achieved competitive results, ranking within the Top 5 on the final scoreboard.<\/jats:p>","DOI":"10.1007\/978-3-031-65794-8_13","type":"book-chapter","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T06:02:44Z","timestamp":1723615364000},"page":"205-213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["NRK at FoRC 2024 Subtask I: Exploiting BERT-Based Models for Multi-class Classification of Scholarly Papers"],"prefix":"10.1007","author":[{"given":"Kiet","family":"Nguyen Tuan","sequence":"first","affiliation":[]},{"given":"Thin","family":"Dang Van","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,15]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text. In: Inui, K., Jiang, J., Ng, V., Wan, X. (eds.) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 3615\u20133620. Hong Kong, China, November 2019","DOI":"10.18653\/v1\/D19-1371"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Chowdhury, S., Schoen, M.P.: Research paper classification using supervised machine learning techniques. In: 2020 Intermountain Engineering, Technology and Computing (IETC), pp.\u00a01\u20136 (2020)","DOI":"10.1109\/IETC47856.2020.9249211"},{"key":"13_CR3","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186 (Jun 2019)"},{"key":"13_CR4","unstructured":"He, P., Gao, J., Chen, W.: Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing. In: The Eleventh International Conference on Learning Representations (2022)"},{"key":"13_CR5","unstructured":"He, P., Liu, X., Gao, J., Chen, W.: Deberta: decoding-enhanced bert with disentageled attention. In: International Conference on Learning Representations (2021)"},{"key":"13_CR6","first-page":"1","volume":"9","author":"SW Kim","year":"2019","unstructured":"Kim, S.W., Gil, J.M.: Research paper classification systems based on TF-IDF and LDA schemes. HCIS 9, 1\u201321 (2019)","journal-title":"HCIS"},{"key":"13_CR7","unstructured":"Liu, Y., et al.: Roberta: a robustly optimized BERT pretraining approach. CoRR (2019)"},{"key":"13_CR8","unstructured":"Wang, H., Chen, B., Li, W.J.: Collaborative topic regression with social regularization for tag recommendation. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pp. 2719\u20132725 (2013)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Wei, Y., He, Y., Yang, C.: Jetam: a joint embedding method for research paper mutil-label classification. In: 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), pp. 390\u2013394 (2022)","DOI":"10.1109\/ICICML57342.2022.10009721"},{"key":"13_CR10","unstructured":"Wolf, T., et al.: Transformers: state-of-the-art natural language processing. In: Liu, Q., Schlangen, D. (eds.) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 38\u201345, October 2020"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yu, X., Liu, X., Lyu, X.: Scientific paper classification by fusing BERT and GCN. In: 2023 International Conference on Intelligent Education and Intelligent Research (IEIR), pp.\u00a01\u20136 (2023)","DOI":"10.1109\/IEIR59294.2023.10391239"}],"container-title":["Lecture Notes in Computer Science","Natural Scientific Language Processing and Research Knowledge Graphs"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-65794-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T06:04:48Z","timestamp":1723615488000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-65794-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031657931","9783031657948"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-65794-8_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"15 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NSLP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hersonissos, Crete","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nslp2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/nfdi4ds.github.io\/nslp2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}