{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/review-driven-multi-label-music-style","title":"Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations","arxiv_id":"1808.07604","date":"2018-08-23","proceeding":"NAACL 2019 6","authors":["Guangxiang Zhao","Jingjing Xu","Qi Zeng","Xuancheng Ren"],"abstract":"This paper explores a new natural language processing task, review-driven\nmulti-label music style classification. This task requires the system to\nidentify multiple styles of music based on its reviews on websites. The biggest\nchallenge lies in the complicated relations of music styles. It has brought\nfailure to many multi-label classification methods. To tackle this problem, we\npropose a novel deep learning approach to automatically learn and exploit style\ncorrelations. The proposed method consists of two parts: a label-graph based\nneural network, and a soft training mechanism with correlation-based continuous\nlabel representation. Experimental results show that our approach achieves\nlarge improvements over the baselines on the proposed dataset. Especially, the\nmicro F1 is improved from 53.9 to 64.5, and the one-error is reduced from 30.5\nto 22.6. Furthermore, the visualized analysis shows that our approach performs\nwell in capturing style correlations.","url_abs":"http://arxiv.org/abs/1808.07604v1","url_pdf":"http://arxiv.org/pdf/1808.07604v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"review-driven-multi-label-music-style","repo_url":"https://github.com/lancopku/RMSC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.07604","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}