{"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/graph-convolutional-networks-for-named-entity-1","title":"Graph Convolutional Networks for Named Entity Recognition","arxiv_id":"1709.10053","date":"2017-09-28","proceeding":null,"authors":["A. Cetoli","S. Bragaglia","A. D. O'Harney","M. Sloan"],"abstract":"In this paper we investigate the role of the dependency tree in a named\nentity recognizer upon using a set of GCN. We perform a comparison among\ndifferent NER architectures and show that the grammar of a sentence positively\ninfluences the results. Experiments on the ontonotes dataset demonstrate\nconsistent performance improvements, without requiring heavy feature\nengineering nor additional language-specific knowledge.","url_abs":"http://arxiv.org/abs/1709.10053v2","url_pdf":"http://arxiv.org/pdf/1709.10053v2.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":"graph-convolutional-networks-for-named-entity-1","repo_url":"https://github.com/contextscout/gcn_ner","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"feature-engineering","task_name":"Feature Engineering"},{"task_slug":"cg","task_name":"NER"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[{"method_slug":"gcn","method_name":"GCN"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1709.10053","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}