{"url":"/sota/keyword-extraction-on-inspec","task":{"name":"Keyword Extraction","url":"/task/keyword-extraction","note":null},"dataset":{"name":"Inspec","url":"/dataset/inspec"},"category":"Natural Language Processing","categories":["Natural Language Processing"],"category_note":null,"description":"Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).","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":["F1 score","Precision@10","Recall @ 10"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"F1 score":"higher","Precision@10":"higher","Recall @ 10":"higher"}},"counts":{"rows":5,"rows_with_code":1,"rows_with_paper_page":5,"rows_dated":5,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"Phraseformer(BERT, ExEm(ft))","metrics":{"F1 score":"69.87"},"uses_additional_data":false,"paper_date":"2021-06-09","paper":"/paper/phraseformer-multimodal-key-phrase-extraction","paper_url":"https://arxiv.org/abs/2106.04939v1","paper_title":"Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":2,"model":"Phraseformer(BERT, ExEm(w2v))","metrics":{"F1 score":"69.70"},"uses_additional_data":false,"paper_date":"2021-06-09","paper":"/paper/phraseformer-multimodal-key-phrase-extraction","paper_url":"https://arxiv.org/abs/2106.04939v1","paper_title":"Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":3,"model":"Phraseformer(BERT, Node2vec)","metrics":{"F1 score":"68.68"},"uses_additional_data":false,"paper_date":"2021-06-09","paper":"/paper/phraseformer-multimodal-key-phrase-extraction","paper_url":"https://arxiv.org/abs/2106.04939v1","paper_title":"Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":4,"model":"Phraseformer(BERT, DeepWalk)","metrics":{"F1 score":"68.44"},"uses_additional_data":false,"paper_date":"2021-06-09","paper":"/paper/phraseformer-multimodal-key-phrase-extraction","paper_url":"https://arxiv.org/abs/2106.04939v1","paper_title":"Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":5,"model":"FRAKE","metrics":{"F1 score":"58.9","Precision@10":"57.2","Recall @ 10":"60.7"},"uses_additional_data":false,"paper_date":"2021-04-10","paper":"/paper/frake-fusional-real-time-automatic-keyword","paper_url":"https://arxiv.org/abs/2104.04830v2","paper_title":"FRAKE: Fusional Real-time Automatic Keyword Extraction","code":"https://github.com/cominsys/FRAKE","n_code_links":1,"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"}}}