{"url":"/sota/zero-shot-relation-triplet-extraction-on","task":{"name":"Zero-shot Relation Triplet Extraction","url":"/task/zero-shot-relation-triplet-extraction","note":null},"dataset":{"name":"FewRel","url":"/dataset/fewrel"},"category":"Natural Language Processing","categories":["Natural Language Processing"],"category_note":null,"description":"Given an input sentence, the task is to extract triplets consisting of the head entity, relation label, and tail entity where the relation label is not seen at the training stage.","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":["Avg. F1"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"Avg. F1":"higher"}},"counts":{"rows":3,"rows_with_code":3,"rows_with_paper_page":3,"rows_dated":3,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"ZETT","metrics":{"Avg. F1":"31.28"},"uses_additional_data":false,"paper_date":"2022-12-21","paper":"/paper/zero-shot-triplet-extraction-by-template","paper_url":"https://arxiv.org/abs/2212.10708v2","paper_title":"Zero-shot Triplet Extraction by Template Infilling","code":"https://github.com/megagonlabs/zett","n_code_links":1,"syntology":null},{"rank_in_archive_order":2,"model":"RelationPrompt","metrics":{"Avg. F1":"24.61"},"uses_additional_data":false,"paper_date":"2022-03-17","paper":"/paper/relationprompt-leveraging-prompts-to-generate","paper_url":"https://arxiv.org/abs/2203.09101v1","paper_title":"RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction","code":"https://github.com/declare-lab/relationprompt","n_code_links":2,"syntology":{"n_ran":15,"n_unverified":11,"n_samples":26,"n_pointer_only_licence":16}},{"rank_in_archive_order":3,"model":"TableSequence","metrics":{"Avg. F1":"6.37"},"uses_additional_data":false,"paper_date":"2020-10-08","paper":"/paper/two-are-better-than-one-joint-entity-and","paper_url":"https://arxiv.org/abs/2010.03851v1","paper_title":"Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders","code":"https://github.com/LorrinWWW/two-are-better-than-one","n_code_links":2,"syntology":{"n_ran":0,"n_unverified":3,"n_samples":3,"n_pointer_only_licence":3}}],"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":2,"rows_with_any_sample_ran":1,"distinct_papers_with_graph_line":2,"distinct_papers_with_any_sample_ran":1,"samples_over_distinct_papers":{"n_ran":15,"n_unverified":14,"n_samples":29,"n_pointer_only_licence":19,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":15,"n_unverified":14,"n_samples":29,"n_pointer_only_licence":19,"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"}}}