{"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/wnut-2020-task-1-overview-extracting-entities","title":"WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols","arxiv_id":"2010.14576","date":"2020-10-27","proceeding":"EMNLP (WNUT) 2020 11","authors":["Jeniya Tabassum","Sydney Lee","Wei Xu","Alan Ritter"],"abstract":"This paper presents the results of the wet lab information extraction task at WNUT 2020. This task consisted of two sub tasks: (1) a Named Entity Recognition (NER) task with 13 participants and (2) a Relation Extraction (RE) task with 2 participants. We outline the task, data annotation process, corpus statistics, and provide a high-level overview of the participating systems for each sub task.","url_abs":"https://arxiv.org/abs/2010.14576v3","url_pdf":"https://arxiv.org/pdf/2010.14576v3.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":"wnut-2020-task-1-overview-extracting-entities","repo_url":"https://github.com/jeniyat/WNUT_2020_NER","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"cg","task_name":"NER"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":null,"task_name":"Relation"},{"task_slug":"relation-extraction","task_name":"Relation Extraction"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[{"slug":"wnut-20-task-1-extracting-entities-and","name":"WNUT 2020","full_name":"WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/named-entity-recognition-on-wnut-20-task-1","task":"Named Entity Recognition (NER)","dataset":"WNUT 2020","model":"Baseline","rank_in_archive_order":3,"of":3,"metrics":{"F1":"65.73","Precision":"70.06","Recall":"61.91"},"uses_additional_data":false},{"leaderboard":"/sota/relation-extraction-on-wnut-20-task-1","task":"Relation Extraction","dataset":"WNUT 2020","model":"Baseline","rank_in_archive_order":1,"of":1,"metrics":{"F1":"72.5","Precision":"80.1","Recall":"66.21"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2010.14576","atlas_url":"https://app.syntology.ai/?focus=2010.14576","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}