{"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/paraphrase-to-explicate-revealing-implicit","title":"Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations","arxiv_id":"1805.02442","date":"2018-05-07","proceeding":"ACL 2018 7","authors":["Vered Shwartz","Ido Dagan"],"abstract":"Revealing the implicit semantic relation between the constituents of a\nnoun-compound is important for many NLP applications. It has been addressed in\nthe literature either as a classification task to a set of pre-defined\nrelations or by producing free text paraphrases explicating the relations. Most\nexisting paraphrasing methods lack the ability to generalize, and have a hard\ntime interpreting infrequent or new noun-compounds. We propose a neural model\nthat generalizes better by representing paraphrases in a continuous space,\ngeneralizing for both unseen noun-compounds and rare paraphrases. Our model\nhelps improving performance on both the noun-compound paraphrasing and\nclassification tasks.","url_abs":"http://arxiv.org/abs/1805.02442v1","url_pdf":"http://arxiv.org/pdf/1805.02442v1.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":"paraphrase-to-explicate-revealing-implicit","repo_url":"https://github.com/vered1986/panic","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.02442","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}