{"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/syntax-aware-neural-semantic-role-labeling","title":"Syntax-aware Neural Semantic Role Labeling with Supertags","arxiv_id":"1903.05260","date":"2019-03-12","proceeding":"NAACL 2019 6","authors":["Jungo Kasai","Dan Friedman","Robert Frank","Dragomir Radev","Owen Rambow"],"abstract":"We introduce a new syntax-aware model for dependency-based semantic role\nlabeling that outperforms syntax-agnostic models for English and Spanish. We\nuse a BiLSTM to tag the text with supertags extracted from dependency parses,\nand we feed these supertags, along with words and parts of speech, into a deep\nhighway BiLSTM for semantic role labeling. Our model combines the strengths of\nearlier models that performed SRL on the basis of a full dependency parse with\nmore recent models that use no syntactic information at all. Our local and\nnon-ensemble model achieves state-of-the-art performance on the CoNLL 09\nEnglish and Spanish datasets. SRL models benefit from syntactic information,\nand we show that supertagging is a simple, powerful, and robust way to\nincorporate syntax into a neural SRL system.","url_abs":"http://arxiv.org/abs/1903.05260v2","url_pdf":"http://arxiv.org/pdf/1903.05260v2.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":"syntax-aware-neural-semantic-role-labeling","repo_url":"https://github.com/jungokasai/stagging_srl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"semantic-role-labeling","task_name":"Semantic Role Labeling"},{"task_slug":"tag","task_name":"TAG"}],"methods":[{"method_slug":"bilstm","method_name":"BiLSTM"},{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1903.05260","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}