{"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/neural-multi-task-learning-for-citation","title":"Neural Multi-Task Learning for Citation Function and Provenance","arxiv_id":"1811.07351","date":"2018-11-18","proceeding":null,"authors":["Xuan Su","Animesh Prasad","Min-Yen Kan","Kazunari Sugiyama"],"abstract":"Citation function and provenance are two cornerstone tasks in citation\nanalysis. Given a citation, the former task determines its rhetorical role,\nwhile the latter locates the text in the cited paper that contains the relevant\ncited information. We hypothesize that these two tasks are synergistically\nrelated, and build a model that validates this claim. For both tasks, we show\nthat a single-layer convolutional neural network (CNN) outperforms existing\nstate-of-the-art baselines. More importantly, we show that the two tasks are\nindeed synergistic: by jointly training both of the tasks in a multi-task\nlearning setup, we demonstrate additional performance gains. Altogether, our\nmodels improve the current state-of-the-arts up to 2\\%, with statistical\nsignificance for both citation function and provenance prediction tasks.","url_abs":"http://arxiv.org/abs/1811.07351v2","url_pdf":"http://arxiv.org/pdf/1811.07351v2.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":"neural-multi-task-learning-for-citation","repo_url":"https://github.com/animeshprasad/citation_analysis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"neural-multi-task-learning-for-citation","repo_url":"https://github.com/animeshprasad/citation_func_n_prov","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}