{"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/sentences-with-gapping-parsing-and","title":"Sentences with Gapping: Parsing and Reconstructing Elided Predicates","arxiv_id":"1804.06922","date":"2018-04-18","proceeding":"NAACL 2018 6","authors":["Sebastian Schuster","Joakim Nivre","Christopher D. Manning"],"abstract":"Sentences with gapping, such as Paul likes coffee and Mary tea, lack an overt\npredicate to indicate the relation between two or more arguments. Surface\nsyntax representations of such sentences are often produced poorly by parsers,\nand even if correct, not well suited to downstream natural language\nunderstanding tasks such as relation extraction that are typically designed to\nextract information from sentences with canonical clause structure. In this\npaper, we present two methods for parsing to a Universal Dependencies graph\nrepresentation that explicitly encodes the elided material with additional\nnodes and edges. We find that both methods can reconstruct elided material from\ndependency trees with high accuracy when the parser correctly predicts the\nexistence of a gap. We further demonstrate that one of our methods can be\napplied to other languages based on a case study on Swedish.","url_abs":"http://arxiv.org/abs/1804.06922v1","url_pdf":"http://arxiv.org/pdf/1804.06922v1.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":"sentences-with-gapping-parsing-and","repo_url":"https://github.com/sebschu/naacl-gapping","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"sentences-with-gapping-parsing-and","repo_url":"https://github.com/dialogue-evaluation/AGRR-2019","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"natural-language-understanding","task_name":"Natural Language Understanding"},{"task_slug":null,"task_name":"Relation"},{"task_slug":"relation-extraction","task_name":"Relation Extraction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1804.06922","atlas_url":"https://app.syntology.ai/?focus=1804.06922","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}