{"url":"/task/fg-1-pg-1","name":"FG-1-PG-1","slug":"fg-1-pg-1","description_markdown":"The model learns one entity in the first step (no continuous learning is required), and learns one new entity in each subsequent continuous learning step.","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":1,"papers_with_code":1,"benchmarks":3,"benchmark_tables_in_archive":3,"benchmark_tables_shown":3,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":4,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/fg-1-pg-1-on-2010-i2b2-va","slug":"fg-1-pg-1-on-2010-i2b2-va","dataset":"2010 i2b2/VA","dataset_url":"/dataset/2010-i2b2-va","rows_in_archive":1,"metrics":["F1 (macro)","F1 (micro)"],"first_row_in_archive_order":{"model":"CFNER","paper_title":"Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition","paper_url":"/paper/distilling-causal-effect-from-miscellaneous","paper_date":"2022-10-08","arxiv_id":"2210.03980","code_links":[{"title":"zzz47zzz/CFNER","url":"https://github.com/zzz47zzz/CFNER"}],"syntology":null}},{"leaderboard":"/sota/fg-1-pg-1-on-conll2003","slug":"fg-1-pg-1-on-conll2003","dataset":"conll2003","dataset_url":"/dataset/conll-1","rows_in_archive":1,"metrics":["F1 (macro)","F1 (micro)"],"first_row_in_archive_order":{"model":"CFNER","paper_title":"Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition","paper_url":"/paper/distilling-causal-effect-from-miscellaneous","paper_date":"2022-10-08","arxiv_id":"2210.03980","code_links":[{"title":"zzz47zzz/CFNER","url":"https://github.com/zzz47zzz/CFNER"}],"syntology":null}},{"leaderboard":"/sota/fg-1-pg-1-on-ontonotes-5-0","slug":"fg-1-pg-1-on-ontonotes-5-0","dataset":"OntoNotes 5.0","dataset_url":"/dataset/ontonotes-5-0","rows_in_archive":1,"metrics":["F1 (macro)","F1 (micro)"],"first_row_in_archive_order":{"model":"CFNER","paper_title":"Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition","paper_url":"/paper/distilling-causal-effect-from-miscellaneous","paper_date":"2022-10-08","arxiv_id":"2210.03980","code_links":[{"title":"zzz47zzz/CFNER","url":"https://github.com/zzz47zzz/CFNER"}],"syntology":null}}],"datasets":[{"url":"/dataset/conll-2003","name":"CoNLL 2003","full_name":"","num_papers_in_archive":755},{"url":"/dataset/ontonotes-5-0","name":"OntoNotes 5.0","full_name":"","num_papers_in_archive":254},{"url":"/dataset/conll-1","name":"CoNLL","full_name":"","num_papers_in_archive":187},{"url":"/dataset/2010-i2b2-va","name":"2010 i2b2/VA","full_name":"2010 i2b2/VA","num_papers_in_archive":18}],"subtasks":[],"parent_tasks":[{"url":"/task/continual-named-entity-recognition","name":"Continual Named Entity Recognition"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":1,"of":1,"tagged_in_all":1,"items":[{"url":"/paper/distilling-causal-effect-from-miscellaneous","title":"Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition","date":"2022-10-08","arxiv_id":"2210.03980","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}