{"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/neural-semantic-role-labeling-with-dependency","title":"Neural Semantic Role Labeling with Dependency Path Embeddings","arxiv_id":"1605.07515","date":"2016-05-24","proceeding":"ACL 2016 8","authors":["Michael Roth","Mirella Lapata"],"abstract":"This paper introduces a novel model for semantic role labeling that makes use\nof neural sequence modeling techniques. Our approach is motivated by the\nobservation that complex syntactic structures and related phenomena, such as\nnested subordinations and nominal predicates, are not handled well by existing\nmodels. Our model treats such instances as sub-sequences of lexicalized\ndependency paths and learns suitable embedding representations. We\nexperimentally demonstrate that such embeddings can improve results over\nprevious state-of-the-art semantic role labelers, and showcase qualitative\nimprovements obtained by our method.","url_abs":"http://arxiv.org/abs/1605.07515v2","url_pdf":"http://arxiv.org/pdf/1605.07515v2.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":"neural-semantic-role-labeling-with-dependency","repo_url":"https://github.com/microth/PathLSTM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"semantic-role-labeling","task_name":"Semantic Role Labeling"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1605.07515","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}