{"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/shanghaitech-at-mrp-2019-sequence-to-graph-1","title":"ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing","arxiv_id":"2004.03849","date":"2020-04-08","proceeding":"CONLL 2019 11","authors":["Xinyu Wang","Yixian Liu","Zixia Jia","Chengyue Jiang","Kewei Tu"],"abstract":"This paper presents the system used in our submission to the \\textit{CoNLL 2019 shared task: Cross-Framework Meaning Representation Parsing}. Our system is a graph-based parser which combines an extended pointer-generator network that generates nodes and a second-order mean field variational inference module that predicts edges. Our system achieved \\nth{1} and \\nth{2} place for the DM and PSD frameworks respectively on the in-framework ranks and achieved \\nth{3} place for the DM framework on the cross-framework ranks.","url_abs":"https://arxiv.org/abs/2004.03849v1","url_pdf":"https://arxiv.org/pdf/2004.03849v1.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":"shanghaitech-at-mrp-2019-sequence-to-graph-1","repo_url":"https://github.com/wangxinyu0922/Second_Order_SDP","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"variational-inference","task_name":"Variational Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}