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Extracted relationships usually\r\noccur between two or more entities of a certain type (e.g. Person, Organisation, Location) and fall into a number of\r\nsemantic categories (e.g. married to, employed by, lives in).","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":19,"papers_with_code":11,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"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":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/relationship-extraction-distant-supervised-on","slug":"relationship-extraction-distant-supervised-on","dataset":"New York Times Corpus","dataset_url":"/dataset/new-york-times-annotated-corpus","rows_in_archive":9,"metrics":["P@10%","P@30%","AUC","Average Precision"],"first_row_in_archive_order":{"model":"KGPOOL","paper_title":"KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction","paper_url":"/paper/kgpool-dynamic-knowledge-graph-context","paper_date":"2021-06-01","arxiv_id":"2106.00459","code_links":[{"title":"nadgeri14/KGPool","url":"https://github.com/nadgeri14/KGPool"}],"syntology":null}},{"leaderboard":"/sota/relationship-extraction-distant-supervised-on-2","slug":"relationship-extraction-distant-supervised-on-2","dataset":"NYT","dataset_url":"/dataset/new-york-times-annotated-corpus","rows_in_archive":1,"metrics":["P@100","P@200","P@300","PR AUC"],"first_row_in_archive_order":{"model":"DocDS","paper_title":"From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension","paper_url":"/paper/from-bag-of-sentences-to-document-distantly","paper_date":"2020-12-08","arxiv_id":"2012.04334","code_links":[{"title":"lingyongyan/docds","url":"https://github.com/lingyongyan/docds"}],"syntology":null}}],"datasets":[{"url":"/dataset/new-york-times-annotated-corpus","name":"New York Times Annotated Corpus","full_name":"","num_papers_in_archive":262}],"subtasks":[],"parent_tasks":[{"url":"/task/relation-extraction","name":"Relation Extraction"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); 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