{"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/exploiting-data-characteristics-for-document","title":"Exploiting Data Characteristics for Document-level Event Extraction","arxiv_id":null,"date":"2021-11-16","proceeding":"ACL ARR November 2021 11","authors":["Anonymous"],"abstract":"Document-level event extraction (DEE) extracts structured information of events from a document. Previous studies focus on improving the model architecture. We propose to exploit data characteristics: 1) we utilize more coreference information to obtain better document-level entity representations; 2) we manually identify core roles of each event type and propose the hybrid extraction to shallow the memory and alleviate error propagation. Experiments on a large dataset demonstrate that our methods significantly improve model performance on both the role-level and record-level metrics. Our code is available at https://github.com/coszeros/CAB.\n","url_abs":"https://openreview.net/forum?id=tVF2KuTau5g","url_pdf":"https://openreview.net/pdf?id=tVF2KuTau5g","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":"exploiting-data-characteristics-for-document","repo_url":"https://github.com/coszeros/cab","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"document-level-event-extraction","task_name":"Document-level Event Extraction"},{"task_slug":"event-extraction","task_name":"Event Extraction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}