{"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/large-scale-qa-srl-parsing","title":"Large-Scale QA-SRL Parsing","arxiv_id":"1805.05377","date":"2018-05-14","proceeding":"ACL 2018 7","authors":["Nicholas FitzGerald","Julian Michael","Luheng He","Luke Zettlemoyer"],"abstract":"We present a new large-scale corpus of Question-Answer driven Semantic Role\nLabeling (QA-SRL) annotations, and the first high-quality QA-SRL parser. Our\ncorpus, QA-SRL Bank 2.0, consists of over 250,000 question-answer pairs for\nover 64,000 sentences across 3 domains and was gathered with a new\ncrowd-sourcing scheme that we show has high precision and good recall at modest\ncost. We also present neural models for two QA-SRL subtasks: detecting argument\nspans for a predicate and generating questions to label the semantic\nrelationship. The best models achieve question accuracy of 82.6% and span-level\naccuracy of 77.6% (under human evaluation) on the full pipelined QA-SRL\nprediction task. They can also, as we show, be used to gather additional\nannotations at low cost.","url_abs":"http://arxiv.org/abs/1805.05377v1","url_pdf":"http://arxiv.org/pdf/1805.05377v1.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":"large-scale-qa-srl-parsing","repo_url":"https://github.com/uwnlp/qasrl-bank","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"large-scale-qa-srl-parsing","repo_url":"https://github.com/eranhirs/qasrl_state_machine_example","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"large-scale-qa-srl-parsing","repo_url":"https://github.com/nafitzgerald/nrl-qasrl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"semantic-role-labeling","task_name":"Semantic Role Labeling"}],"methods":[],"datasets_introduced":[{"slug":"qa-srl-bank-2-0","name":"QA-SRL Bank 2.0","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.05377","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}