{"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/semi-supervised-semantic-dependency-parsing","title":"Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders","arxiv_id":null,"date":"2020-07-01","proceeding":"ACL 2020 6","authors":["Zixia Jia","Youmi Ma","Jiong Cai","Kewei Tu"],"abstract":"Semantic dependency parsing, which aims to find rich bi-lexical relationships, allows words to have multiple dependency heads, resulting in graph-structured representations. We propose an approach to semi-supervised learning of semantic dependency parsers based on the CRF autoencoder framework. Our encoder is a discriminative neural semantic dependency parser that predicts the latent parse graph of the input sentence. Our decoder is a generative neural model that reconstructs the input sentence conditioned on the latent parse graph. Our model is arc-factored and therefore parsing and learning are both tractable. Experiments show our model achieves significant and consistent improvement over the supervised baseline.","url_abs":"https://aclanthology.org/2020.acl-main.607","url_pdf":"https://aclanthology.org/2020.acl-main.607.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":"semi-supervised-semantic-dependency-parsing","repo_url":"https://github.com/JZXXX/Semi-SDP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"arc","task_name":"ARC"},{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"task_slug":"semantic-dependency-parsing","task_name":"Semantic Dependency Parsing"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[{"method_slug":"crf","method_name":"CRF"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}