{"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/learning-joint-semantic-parsers-from-disjoint","title":"Learning Joint Semantic Parsers from Disjoint Data","arxiv_id":"1804.05990","date":"2018-04-17","proceeding":"NAACL 2018 6","authors":["Hao Peng","Sam Thomson","Swabha Swayamdipta","Noah A. Smith"],"abstract":"We present a new approach to learning semantic parsers from multiple\ndatasets, even when the target semantic formalisms are drastically different,\nand the underlying corpora do not overlap. We handle such \"disjoint\" data by\ntreating annotations for unobserved formalisms as latent structured variables.\nBuilding on state-of-the-art baselines, we show improvements both in\nframe-semantic parsing and semantic dependency parsing by modeling them\njointly.","url_abs":"http://arxiv.org/abs/1804.05990v1","url_pdf":"http://arxiv.org/pdf/1804.05990v1.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":"learning-joint-semantic-parsers-from-disjoint","repo_url":"https://github.com/Noahs-ARK/NeurboParser","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"learning-joint-semantic-parsers-from-disjoint","repo_url":"https://github.com/swabhs/coling18tutorial","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"task_slug":"semantic-dependency-parsing","task_name":"Semantic Dependency Parsing"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1804.05990","atlas_url":"https://app.syntology.ai/?focus=1804.05990","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}