{"id":"https://openalex.org/W2740026090","doi":"https://doi.org/10.18653/v1/e17-2064","title":"How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis","display_name":"How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740026090","doi":"https://doi.org/10.18653/v1/e17-2064","mag":"2740026090"},"language":"en","primary_location":{"id":"doi:10.18653/v1/e17-2064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-2064","pdf_url":"https://www.aclweb.org/anthology/E17-2064.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th Conference of the European Chapter of the\n          Association for Computational Linguistics: Volume 2, Short Papers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/E17-2064.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102816583","display_name":"Ivan Sanchez","orcid":"https://orcid.org/0000-0003-0321-3602"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ivan Sanchez","raw_affiliation_strings":["University College London Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"University College London Department of Computer Science","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101404695","display_name":"Sebastian Riedel","orcid":"https://orcid.org/0000-0002-3655-2486"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sebastian Riedel","raw_affiliation_strings":["University College London Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"University College London Department of Computer Science","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102816583"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":2.1452,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90369866,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"401","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.9253095388412476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7576555013656616},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6853691935539246},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6432903409004211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5751248002052307},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5352787375450134},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5256437063217163},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5246213674545288},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4771032929420471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34219083189964294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13996949791908264},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.057941317558288574}],"concepts":[{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.9253095388412476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576555013656616},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6853691935539246},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6432903409004211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5751248002052307},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5352787375450134},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5256437063217163},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5246213674545288},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4771032929420471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34219083189964294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13996949791908264},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.057941317558288574},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/e17-2064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-2064","pdf_url":"https://www.aclweb.org/anthology/E17-2064.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th Conference of the European Chapter of the\n          Association for Computational Linguistics: Volume 2, Short Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10064232","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10064232/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers.  (pp. pp. 401-407).  Association for Computational Linguistics: Valencia, Spain. (2017)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"doi:10.18653/v1/e17-2064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-2064","pdf_url":"https://www.aclweb.org/anthology/E17-2064.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th Conference of the European Chapter of the\n          Association for Computational Linguistics: Volume 2, Short Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740026090.pdf","grobid_xml":"https://content.openalex.org/works/W2740026090.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W205765513","https://openalex.org/W1516501661","https://openalex.org/W1583820951","https://openalex.org/W2031342017","https://openalex.org/W2038721957","https://openalex.org/W2098801107","https://openalex.org/W2101234009","https://openalex.org/W2131253837","https://openalex.org/W2135964261","https://openalex.org/W2155157567","https://openalex.org/W2164359605","https://openalex.org/W2168565044","https://openalex.org/W2230801863","https://openalex.org/W2250318405","https://openalex.org/W2250539671","https://openalex.org/W2296076036","https://openalex.org/W2964046079","https://openalex.org/W2964350953","https://openalex.org/W3105971000"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1977906818","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2131420021"],"abstract_inverted_index":{"One":[0],"key":[1],"property":[2],"of":[3,75],"word":[4],"embeddings":[5],"currently":[6],"under":[7],"study":[8],"is":[9,69],"their":[10],"capacity":[11],"to":[12,21,72],"encode":[13],"hypernymy.":[14],"Previous":[15],"works":[16],"have":[17],"used":[18],"supervised":[19],"models":[20],"recover":[22,39],"hypernymy":[23],"structures":[24],"from":[25],"embeddings.":[26],"However,":[27],"the":[28,44,52],"overall":[29],"results":[30],"do":[31],"not":[32],"clearly":[33],"show":[34,60],"how":[35,50],"well":[36],"we":[37],"can":[38],"such":[40],"structures.":[41],"We":[42,58],"conduct":[43],"first":[45],"dataset-centric":[46],"analysis":[47],"that":[48,61],"shows":[49],"only":[51],"Baroni":[53],"dataset":[54],"provides":[55],"consistent":[56],"results.":[57],"empirically":[59],"a":[62],"possible":[63],"reason":[64],"for":[65],"its":[66,70],"good":[67],"performance":[68],"alignment":[71],"dimensions":[73],"specific":[74],"hypernymy:":[76],"generality":[77],"and":[78],"similarity.":[79]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}