{"url":"/task/document-dating","name":"Document Dating","slug":"document-dating","description_markdown":"Document Dating is the problem of automatically predicting the date of a document based on its content. Date of a document, also referred to as the Document Creation Time (DCT), is at the core of many important tasks, such as, information retrieval, temporal reasoning, text summarization, event detection, and analysis of historical text, among others.\r\n\r\nFor example, in the following document, the correct creation year is 1999. This can be inferred by the presence of terms 1995 and Four years after.\r\n\r\nSwiss adopted that form of taxation in 1995. The concession was approved by the govt last September. Four years after, the IOC….\r\n\r\nDescription from [NLP Progress](http://nlpprogress.com/english/temporal_processing.html)","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":9,"papers_with_code":2,"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/document-dating-on-apw","slug":"document-dating-on-apw","dataset":"APW","dataset_url":null,"rows_in_archive":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"NeuralDater","paper_title":"Dating Documents using Graph Convolution Networks","paper_url":"/paper/dating-documents-using-graph-convolution","paper_date":"2019-02-01","arxiv_id":"1902.00175","code_links":[{"title":"malllabiisc/NeuralDater","url":"https://github.com/malllabiisc/NeuralDater"}],"syntology":null}},{"leaderboard":"/sota/document-dating-on-nyt","slug":"document-dating-on-nyt","dataset":"NYT","dataset_url":"/dataset/new-york-times-annotated-corpus","rows_in_archive":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"NeuralDater","paper_title":"Dating Documents using Graph Convolution Networks","paper_url":"/paper/dating-documents-using-graph-convolution","paper_date":"2019-02-01","arxiv_id":"1902.00175","code_links":[{"title":"malllabiisc/NeuralDater","url":"https://github.com/malllabiisc/NeuralDater"}],"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/temporal-processing","name":"Temporal Processing"}],"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":2,"of":2,"tagged_in_all":9,"items":[{"url":"/paper/dating-documents-using-graph-convolution","title":"Dating Documents using Graph Convolution Networks","date":"2019-02-01","arxiv_id":"1902.00175","repositories_listed":1,"syntology":null},{"url":"/paper/ad3-attentive-deep-document-dater","title":"AD3: Attentive Deep Document Dater","date":"2019-01-21","arxiv_id":"1902.02161","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"}}