{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:03:17Z","timestamp":1750309397004,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,4,20]],"date-time":"2024-04-20T00:00:00Z","timestamp":1713571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,4,20]]},"DOI":"10.1145\/3643787.3648044","type":"proceedings-article","created":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T13:06:02Z","timestamp":1724677562000},"page":"61-64","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8895-6051","authenticated-orcid":false,"given":"Nam Le","family":"Hai","sequence":"first","affiliation":[{"name":"FPT Software AI Center, Hanoi, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1984-4329","authenticated-orcid":false,"given":"Nghi D. Q.","family":"Bui","sequence":"additional","affiliation":[{"name":"Fulbright University, Ho Chi Minh City, Vietnam"}]}],"member":"320","published-online":{"date-parts":[[2024,8,26]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"2023 IEEE\/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE). 28--31","author":"Al-Kaswan Ali","year":"2023","unstructured":"Ali Al-Kaswan, Maliheh Izadi, and Arie Van Deursen. 2023. STACC: Code Comment Classification using SentenceTransformers. In 2023 IEEE\/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE). 28--31."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.139"},{"volume-title":"What does BERT learn about the structure of language?","author":"Jawahar Ganesh","key":"e_1_3_2_1_3_1","unstructured":"Ganesh Jawahar, Beno\u00eet Sagot, and Djam\u00e9 Seddah. 2019. What does BERT learn about the structure of language?. In Association for Computational Linguistics."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of The 3rd International Workshop on Natural Language-based Software Engineering (NLBSE'24)","author":"Kallis Rafael","year":"2024","unstructured":"Rafael Kallis, Giuseppe Colavito, Ali Al-Kaswan, Luca Pascarella, Oscar Chaparro, and Pooja Rani. 2024. The NLBSE'24 Tool Competition. In Proceedings of The 3rd International Workshop on Natural Language-based Software Engineering (NLBSE'24)."},{"key":"e_1_3_2_1_5_1","volume-title":"Improving BERT Performance for Aspect-Based Sentiment Analysis. In 4th International Conference on Natural Language and Speech Processing","author":"Karimi Akbar","year":"2021","unstructured":"Akbar Karimi, Leonardo Rossi, and Andrea Prati. 2021. Improving BERT Performance for Aspect-Based Sentiment Analysis. In 4th International Conference on Natural Language and Speech Processing, Trento, Italy, November 12-13, 2021, Mourad Abbas and Abed Alhakim Freihat (Eds.). Association for Computational Linguistics, 196--203."},{"key":"e_1_3_2_1_6_1","volume-title":"Albert: A lite bert for self-supervised learning of language representations. arXiv preprint arXiv:1909.11942","author":"Lan Zhenzhong","year":"2019","unstructured":"Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019. Albert: A lite bert for self-supervised learning of language representations. arXiv preprint arXiv:1909.11942 (2019)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-023-10297-9"},{"key":"e_1_3_2_1_8_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_9_1","volume-title":"Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, and Nghi D. Q. Bui.","author":"Manh Dung Nguyen","year":"2023","unstructured":"Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, and Nghi D. Q. Bui. 2023. The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. In Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, 4763--4788."},{"key":"e_1_3_2_1_10_1","volume-title":"2017 IEEE\/ACM 14th International Conference on Mining Software Repositories (MSR). IEEE.","author":"Pascarella Luca","year":"2017","unstructured":"Luca Pascarella and Alberto Bacchelli. 2017. Classifying code comments in Java open-source software systems. In 2017 IEEE\/ACM 14th International Conference on Mining Software Repositories (MSR). IEEE."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2021.111047"},{"key":"e_1_3_2_1_12_1","volume-title":"Findings of the Association for Computational Linguistics: ACL 2023","author":"To Hung Quoc","year":"2023","unstructured":"Hung Quoc To, Nghi D. Q. Bui, Jin L. C. Guo, and Tien N. Nguyen. 2023. Better Language Models of Code through Self-Improvement. In Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, Anna Rogers, Jordan L. Boyd-Graber, and Naoaki Okazaki (Eds.). Association for Computational Linguistics, 12994--13002."}],"event":{"name":"NLBSE '24: Third ACM\/IEEE International Workshop on NL-based Software Engineering","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering","IEEE CS","Faculty of Engineering of University of Porto"],"location":"Lisbon Portugal","acronym":"NLBSE '24"},"container-title":["Proceedings of the Third ACM\/IEEE International Workshop on NL-based Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3643787.3648044","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3643787.3648044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:57:45Z","timestamp":1750294665000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3643787.3648044"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,20]]},"references-count":12,"alternative-id":["10.1145\/3643787.3648044","10.1145\/3643787"],"URL":"https:\/\/doi.org\/10.1145\/3643787.3648044","relation":{},"subject":[],"published":{"date-parts":[[2024,4,20]]},"assertion":[{"value":"2024-08-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}