{"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/named-entity-recognition-with-extremely","title":"Named Entity Recognition with Extremely Limited Data","arxiv_id":"1806.04411","date":"2018-06-12","proceeding":null,"authors":["John Foley","Sheikh Muhammad Sarwar","James Allan"],"abstract":"Traditional information retrieval treats named entity recognition as a\npre-indexing corpus annotation task, allowing entity tags to be indexed and\nused during search. Named entity taggers themselves are typically trained on\nthousands or tens of thousands of examples labeled by humans.\n  However, there is a long tail of named entities classes, and for these cases,\nlabeled data may be impossible to find or justify financially. We propose\nexploring named entity recognition as a search task, where the named entity\nclass of interest is a query, and entities of that class are the relevant\n\"documents\". What should that query look like? Can we even perform NER-style\nlabeling with tens of labels? This study presents an exploration of CRF-based\nNER models with handcrafted features and of how we might transform them into\nsearch queries.","url_abs":"http://arxiv.org/abs/1806.04411v2","url_pdf":"http://arxiv.org/pdf/1806.04411v2.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":"named-entity-recognition-with-extremely","repo_url":"https://github.com/jjfiv/searchie-extraction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"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":"retrieval","task_name":"Retrieval"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"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}