{"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-span-selection-model-for-semantic-role","title":"A Span Selection Model for Semantic Role Labeling","arxiv_id":"1810.02245","date":"2018-10-04","proceeding":"EMNLP 2018 10","authors":["Hiroki Ouchi","Hiroyuki Shindo","Yuji Matsumoto"],"abstract":"We present a simple and accurate span-based model for semantic role labeling\n(SRL). Our model directly takes into account all possible argument spans and\nscores them for each label. At decoding time, we greedily select higher scoring\nlabeled spans. One advantage of our model is to allow us to design and use\nspan-level features, that are difficult to use in token-based BIO tagging\napproaches. Experimental results demonstrate that our ensemble model achieves\nthe state-of-the-art results, 87.4 F1 and 87.0 F1 on the CoNLL-2005 and 2012\ndatasets, respectively.","url_abs":"http://arxiv.org/abs/1810.02245v1","url_pdf":"http://arxiv.org/pdf/1810.02245v1.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-span-selection-model-for-semantic-role","repo_url":"https://github.com/hiroki13/span-based-srl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"a-span-selection-model-for-semantic-role","repo_url":"https://github.com/asadovsky/nn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"semantic-role-labeling","task_name":"Semantic Role Labeling"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/semantic-role-labeling-on-conll-2005","task":"Semantic Role Labeling","dataset":"CoNLL 2005","model":"BiLSTM-Span (Ensemble, predicates given)","rank_in_archive_order":7,"of":15,"metrics":{"F1":"88.5"},"uses_additional_data":false},{"leaderboard":"/sota/semantic-role-labeling-on-conll-2005","task":"Semantic Role Labeling","dataset":"CoNLL 2005","model":"BiLSTM-Span","rank_in_archive_order":10,"of":15,"metrics":{"F1":"87.6"},"uses_additional_data":false},{"leaderboard":"/sota/semantic-role-labeling-on-ontonotes","task":"Semantic Role Labeling","dataset":"OntoNotes","model":"BiLSTM-Span (Ensemble)","rank_in_archive_order":9,"of":17,"metrics":{"F1":"87.0"},"uses_additional_data":false},{"leaderboard":"/sota/semantic-role-labeling-on-ontonotes","task":"Semantic Role Labeling","dataset":"OntoNotes","model":"BiLSTM-Span","rank_in_archive_order":10,"of":17,"metrics":{"F1":"86.2"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.02245","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}