{"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/a-survey-of-deep-learning-methods-for","title":"A Survey of Deep Learning Methods for Relation Extraction","arxiv_id":"1705.03645","date":"2017-05-10","proceeding":null,"authors":["Shantanu Kumar"],"abstract":"Relation Extraction is an important sub-task of Information Extraction which\nhas the potential of employing deep learning (DL) models with the creation of\nlarge datasets using distant supervision. In this review, we compare the\ncontributions and pitfalls of the various DL models that have been used for the\ntask, to help guide the path ahead.","url_abs":"http://arxiv.org/abs/1705.03645v1","url_pdf":"http://arxiv.org/pdf/1705.03645v1.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":"a-survey-of-deep-learning-methods-for","repo_url":"https://github.com/cipnlu/InformationExtraction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":null,"task_name":"Relation"},{"task_slug":"relation-extraction","task_name":"Relation Extraction"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1705.03645","atlas_url":"https://app.syntology.ai/?focus=1705.03645","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}