{"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/fine-grained-named-entity-recognition-using","title":"Fine-Grained Named Entity Recognition using ELMo and Wikidata","arxiv_id":"1904.10503","date":"2019-04-23","proceeding":null,"authors":["Cihan Dogan","Aimore Dutra","Adam Gara","Alfredo Gemma","Lei Shi","Michael Sigamani","Ella Walters"],"abstract":"Fine-grained Named Entity Recognition is a task whereby we detect and\nclassify entity mentions to a large set of types. These types can span diverse\ndomains such as finance, healthcare, and politics. We observe that when the\ntype set spans several domains the accuracy of the entity detection becomes a\nlimitation for supervised learning models. The primary reason being the lack of\ndatasets where entity boundaries are properly annotated, whilst covering a\nlarge spectrum of entity types. Furthermore, many named entity systems suffer\nwhen considering the categorization of fine grained entity types. Our work\nattempts to address these issues, in part, by combining state-of-the-art deep\nlearning models (ELMo) with an expansive knowledge base (Wikidata). Using our\nframework, we cross-validate our model on the 112 fine-grained entity types\nbased on the hierarchy given from the Wiki(gold) dataset.","url_abs":"http://arxiv.org/abs/1904.10503v1","url_pdf":"http://arxiv.org/pdf/1904.10503v1.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":"fine-grained-named-entity-recognition-using","repo_url":"https://github.com/sigamani/ner","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"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":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}