{"url":"/dataset/wnut-2016-ner","name":"WNUT 2016 NER","full_name":"WNUT 2016 Twitter Named Entity Recognition","description_markdown":"","description_withheld":null,"homepage":"https://noisy-text.github.io/2016/ner-shared-task.html","introduced_date":"2016-12-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/results-of-the-wnut16-named-entity","title":"Results of the WNUT16 Named Entity Recognition Shared Task","first_author":"Benjamin Strauss","url":null},"license":null,"modalities":[],"tasks":[{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"}],"languages":[],"variants":["WNUT 2016","WNUT-2016","WNUT 2016 NER"],"data_loaders":[],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/named-entity-recognition-on-wnut-2016","task":"Named Entity Recognition (NER)","dataset_variant":"WNUT 2016","rows":7,"metrics":["F1"],"first_row_in_archive_order":{"model":"HGN","paper":"/paper/hero-gang-neural-model-for-named-entity","metrics":{"F1":"59.50"},"code_links":[{"title":"jinpeng01/hgn","url":"https://github.com/jinpeng01/hgn"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hero-gang-neural-model-for-named-entity","title":"Hero-Gang Neural Model For Named Entity Recognition","date":"2022-05-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/improving-named-entity-recognition-by","title":"Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning","date":"2021-05-08","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/inferner-an-attentive-model-leveraging-the","title":"InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs","date":"2021-04-18","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/named-entity-recognition-for-social-media","title":"Named Entity Recognition for Social Media Texts with Semantic Augmentation","date":"2020-10-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/improving-named-entity-recognition-with","title":"Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information","date":"2020-10-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/bertweet-a-pre-trained-language-model-for","title":"BERTweet: A pre-trained language model for English Tweets","date":"2020-05-20","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/bidirectional-lstm-for-named-entity","title":"Bidirectional LSTM for Named Entity Recognition in Twitter Messages","date":"2016-12-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}