{"url":"/sota/dependency-parsing-on-partut","task":{"name":"Dependency Parsing","url":"/task/dependency-parsing","note":null},"dataset":{"name":"ParTUT","url":null},"category":"Natural Language Processing","categories":["Natural Language Processing"],"category_note":null,"description":"Dependency parsing is the task of extracting a dependency parse of a sentence that represents its grammatical\nstructure and defines the relationships between \"head\" words and words, which modify those heads.\n\nExample:\n\n```\n     root\n      |\n      | +-------dobj---------+\n      | |                    |\nnsubj | |   +------det-----+ | +-----nmod------+\n+--+  | |   |              | | |               |\n|  |  | |   |      +-nmod-+| | |      +-case-+ |\n+  |  + |   +      +      || + |      +      | |\nI  prefer  the  morning   flight  through  Denver\n```\n\nRelations among the words are illustrated above the sentence with directed, labeled\narcs from heads to dependents (+ indicates the dependent).","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":["LAS","UAS"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"LAS":null,"UAS":null}},"counts":{"rows":2,"rows_with_code":2,"rows_with_paper_page":2,"rows_dated":2,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"CamemBERT","metrics":{"LAS":"92.9","UAS":"95.21"},"uses_additional_data":false,"paper_date":"2019-11-10","paper":"/paper/camembert-a-tasty-french-language-model","paper_url":"https://arxiv.org/abs/1911.03894v3","paper_title":"CamemBERT: a Tasty French Language Model","code":"https://github.com/huggingface/transformers","n_code_links":8,"syntology":null},{"rank_in_archive_order":2,"model":"UDify","metrics":{"LAS":"88.06","UAS":"90.55"},"uses_additional_data":false,"paper_date":"2019-04-03","paper":"/paper/75-languages-1-model-parsing-universal","paper_url":"https://arxiv.org/abs/1904.02099v3","paper_title":"75 Languages, 1 Model: Parsing Universal Dependencies Universally","code":"https://github.com/hyperparticle/udify","n_code_links":3,"syntology":{"n_ran":0,"n_unverified":12,"n_samples":12,"n_pointer_only_licence":0}}],"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":1,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":1,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":12,"n_samples":12,"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":12,"n_samples":12,"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"}}}