{"url":"/dataset/semeval-2018-task-9-hypernym-discovery","name":"SemEval-2018 Task-9","full_name":null,"description_markdown":"The SemEval-2018 hypernym discovery evaluation benchmark (Camacho-Collados et al. 2018) contains three domains (general, medical and music) and is also available in Italian and Spanish (not in this repository). For each domain a target corpus and vocabulary (i.e. hypernym search space) are provided. The dataset contains both concepts (e.g. dog) and entities (e.g. Manchester United) up to trigrams.\r\n\r\nSource: [NLP Progress](http://nlpprogress.com/english/taxonomy_learning.html)\r\n\r\nImage source: [SemEval-2018 Task 9: Hypernym Discovery](https://competitions.codalab.org/competitions/17119#learn_the_details-overview)","description_withheld":null,"homepage":"https://competitions.codalab.org/competitions/17119","introduced_date":"2018-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/semeval-2018-task-9-hypernym-discovery","title":"SemEval-2018 Task 9: Hypernym Discovery","first_author":"Jose Camacho-Collados","url":null},"license":{"name":"CC BY-SA 3.0","url":"https://creativecommons.org/licenses/by-sa/3.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Hypernym Discovery","url":"/task/hypernym-discovery","datasets_with_task":"/datasets/task/hypernym-discovery"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["General","Medical domain","Music domain","SemEval-2018 Task-9"],"data_loaders":[],"num_papers_in_archive":37,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hypernym-discovery-on-general","task":"Hypernym Discovery","dataset_variant":"General","rows":8,"metrics":["MAP","MRR","P@5"],"first_row_in_archive_order":{"model":"CRIM","paper":"/paper/crim-at-semeval-2018-task-9-a-hybrid-approach","metrics":{"MAP":"19.78","MRR":"36.10","P@5":"19.03"},"code_links":[{"title":"gbcolborne/hypernym_discovery","url":"https://github.com/gbcolborne/hypernym_discovery"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/hypernym-discovery-on-medical-domain","task":"Hypernym Discovery","dataset_variant":"Medical domain","rows":8,"metrics":["MAP","MRR","P@5"],"first_row_in_archive_order":{"model":"CRIM","paper":"/paper/crim-at-semeval-2018-task-9-a-hybrid-approach","metrics":{"MAP":"34.05","MRR":"54.64","P@5":"36.77"},"code_links":[{"title":"gbcolborne/hypernym_discovery","url":"https://github.com/gbcolborne/hypernym_discovery"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/hypernym-discovery-on-music-domain","task":"Hypernym Discovery","dataset_variant":"Music domain","rows":7,"metrics":["MAP","MRR","P@5"],"first_row_in_archive_order":{"model":"CRIM","paper":"/paper/crim-at-semeval-2018-task-9-a-hybrid-approach","metrics":{"MAP":"40.97","MRR":"60.93","P@5":"41.31"},"code_links":[{"title":"gbcolborne/hypernym_discovery","url":"https://github.com/gbcolborne/hypernym_discovery"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/nlp_hz-at-semeval-2018-task-9-a-nearest","title":"NLP\\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach","date":"2018-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/expr-at-semeval-2018-task-9-a-combined","title":"EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery","date":"2018-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/crim-at-semeval-2018-task-9-a-hybrid-approach","title":"CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery","date":"2018-06-01","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/apollo-at-semeval-2018-task-9-detecting","title":"Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies","date":"2018-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/adapt-at-semeval-2018-task-9-skip-gram-word","title":"ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora","date":"2018-06-01","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/300-sparsans-at-semeval-2018-task-9-hypernymy","title":"300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes","date":"2018-06-01","rows_on_this_dataset":3,"code_links":0,"syntology":null},{"paper":"/paper/sjtu-nlp-at-semeval-2018-task-9-neural","title":"SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings","date":"2018-05-26","rows_on_this_dataset":3,"code_links":0,"syntology":null},{"paper":"/paper/hypernyms-under-siege-linguistically","title":"Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection","date":"2016-12-14","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/supervised-distributional-hypernym-discovery","title":"Supervised Distributional Hypernym Discovery via Domain Adaptation","date":"2016-11-01","rows_on_this_dataset":3,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}