{"id":"https://openalex.org/W4239025696","doi":"https://doi.org/10.1017/s1351324916000334","title":"Word2Vec","display_name":"Word2Vec","publication_year":2016,"publication_date":"2016-12-16","ids":{"openalex":"https://openalex.org/W4239025696","doi":"https://doi.org/10.1017/s1351324916000334"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324916000334","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324916000334","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/B84AE4446BD47F48847B4904F0B36E0B/S1351324916000334a.pdf/div-class-title-word2vec-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/B84AE4446BD47F48847B4904F0B36E0B/S1351324916000334a.pdf/div-class-title-word2vec-div.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016543371","display_name":"Kenneth Church","orcid":"https://orcid.org/0000-0001-8378-6069"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"KENNETH WARD CHURCH","raw_affiliation_strings":["IBM, Yorktown Heights, NY, USA e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Yorktown Heights, NY, USA e-mail:","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016543371"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":2.6116,"has_fulltext":true,"cited_by_count":929,"citation_normalized_percentile":{"value":0.90161566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"155","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10778","display_name":"Philosophy and History of Science","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.9429373741149902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486890554428101},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.4644921123981476},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4468902349472046},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3908388614654541},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.35071754455566406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18386510014533997},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1413082480430603},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.05868366360664368}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9429373741149902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486890554428101},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.4644921123981476},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4468902349472046},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3908388614654541},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35071754455566406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18386510014533997},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1413082480430603},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.05868366360664368},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s1351324916000334","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324916000334","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/B84AE4446BD47F48847B4904F0B36E0B/S1351324916000334a.pdf/div-class-title-word2vec-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1017/s1351324916000334","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324916000334","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/B84AE4446BD47F48847B4904F0B36E0B/S1351324916000334a.pdf/div-class-title-word2vec-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4239025696.pdf","grobid_xml":"https://content.openalex.org/works/W4239025696.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1593045043","https://openalex.org/W1614298861","https://openalex.org/W1615991656","https://openalex.org/W1647729745","https://openalex.org/W1659833910","https://openalex.org/W2057867321","https://openalex.org/W2089604928","https://openalex.org/W2104772551","https://openalex.org/W2110485445","https://openalex.org/W2127002961","https://openalex.org/W2127314673","https://openalex.org/W2141599568","https://openalex.org/W2147152072","https://openalex.org/W2153579005","https://openalex.org/W2165612380","https://openalex.org/W2250189634","https://openalex.org/W2882319491","https://openalex.org/W2963176474","https://openalex.org/W2979401726","https://openalex.org/W4206489165","https://openalex.org/W6635456232","https://openalex.org/W6636975626","https://openalex.org/W6680890276"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W3110772647","https://openalex.org/W2770162183","https://openalex.org/W4390881630","https://openalex.org/W2894231409","https://openalex.org/W2947721150","https://openalex.org/W2995297654"],"abstract_inverted_index":{"Abstract":[0],"My":[1],"last":[2],"column":[3],"ended":[4],"with":[5],"some":[6],"comments":[7],"about":[8],"Kuhn":[9],"and":[10,59,101],"word2vec.":[11],"Word2vec":[12],"has":[13,68,88],"racked":[14],"up":[15],"plenty":[16,51],"of":[17,23,52,116],"citations":[18],"because":[19],"it":[20,79,105],"satisifies":[21],"both":[22],"Kuhn\u2019s":[24],"conditions":[25],"for":[26,54,109],"emerging":[27],"trends:":[28],"(1)":[29],"a":[30],"few":[31],"initial":[32],"(promising,":[33],"if":[34],"not":[35],"convincing)":[36],"successes":[37],"that":[38,66,81,86,106],"motivate":[39],"early":[40,55],"adopters":[41,56],"(students)":[42],"to":[43,57,71,85,90,98,103,113],"do":[44],"more,":[45],"as":[46,48],"well":[47],"(2)":[49],"leaving":[50],"room":[53],"contribute":[58],"benefit":[60],"by":[61],"doing":[62],"so.":[63],"The":[64],"fact":[65],"Google":[67],"so":[69],"much":[70,107],"say":[72],"on":[73],"\u2018How":[74],"does":[75],"word2vec":[76],"work\u2019":[77],"makes":[78],"clear":[80],"the":[82,110,117,124],"definitive":[83],"answer":[84],"question":[87],"yet":[89],"be":[91],"written.":[92],"It":[93],"also":[94],"helps":[95],"citation":[96],"counts":[97],"distribute":[99],"code":[100],"data":[102],"make":[104],"easier":[108],"next":[111],"generation":[112],"take":[114],"advantage":[115],"opportunities":[118],"(and":[119],"cite":[120],"your":[121],"work":[122],"in":[123],"process).":[125]},"counts_by_year":[{"year":2026,"cited_by_count":68},{"year":2025,"cited_by_count":234},{"year":2024,"cited_by_count":226},{"year":2023,"cited_by_count":169},{"year":2022,"cited_by_count":117},{"year":2021,"cited_by_count":84},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2022-05-12T00:00:00"}
