{"url":"/sota/document-classification-on-wos-5736","task":{"name":"Document Classification","url":"/task/document-classification","note":null},"dataset":{"name":"WOS-5736","url":"/dataset/web-of-science-dataset"},"category":"Natural Language Processing","categories":["Natural Language Processing"],"category_note":null,"description":"**Document Classification** is a procedure of assigning one or more labels to a document from a predetermined set of labels.\n\n\n<span class=\"description-source\">Source: [Long-length Legal Document Classification ](https://arxiv.org/abs/1912.06905)</span>","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["Accuracy"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"Accuracy":"higher"}},"counts":{"rows":2,"rows_with_code":1,"rows_with_paper_page":2,"rows_dated":1,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"ConvTextTM","metrics":{"Accuracy":"91.28"},"uses_additional_data":false,"paper_date":null,"paper":"/paper/convtexttm-an-explainable-convolutional","paper_url":"https://aclanthology.org/2022.lrec-1.401","paper_title":"ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":2,"model":"HDLTex","metrics":{"Accuracy":"90.93"},"uses_additional_data":false,"paper_date":"2017-09-24","paper":"/paper/hdltex-hierarchical-deep-learning-for-text","paper_url":"http://arxiv.org/abs/1709.08267v2","paper_title":"HDLTex: Hierarchical Deep Learning for Text Classification","code":"https://github.com/kk7nc/HDLTex","n_code_links":3,"syntology":null}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":0,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":0,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}