{"id":"https://openalex.org/W2930160033","doi":"https://doi.org/10.1109/bigcomp.2019.8679169","title":"Transitivity of Transformation Matrices to Bridge Word Vector Spaces Over Time","display_name":"Transitivity of Transformation Matrices to Bridge Word Vector Spaces Over Time","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2930160033","doi":"https://doi.org/10.1109/bigcomp.2019.8679169","mag":"2930160033"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058940722","display_name":"Katsurou Takahashi","orcid":"https://orcid.org/0000-0001-8418-8853"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsurou Takahashi","raw_affiliation_strings":["Graduate School of Applied Informatics, University of Hyogo, Kobe, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Applied Informatics, University of Hyogo, Kobe, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024408306","display_name":"Hiroaki Ohshima","orcid":"https://orcid.org/0000-0002-9492-2246"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Ohshima","raw_affiliation_strings":["Graduate School of Applied Informatics, University of Hyogo, Kobe, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Applied Informatics, University of Hyogo, Kobe, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02590451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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/T10028","display_name":"Topic Modeling","score":0.9966999888420105,"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/T12090","display_name":"Language and cultural evolution","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6181870102882385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5918197631835938},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5915172696113586},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.518624484539032},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.46259254217147827},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4399820864200592},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.4228469729423523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32003217935562134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30750709772109985},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.2038545310497284},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14664071798324585},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08042705059051514},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07348689436912537}],"concepts":[{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6181870102882385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5918197631835938},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5915172696113586},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.518624484539032},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.46259254217147827},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4399820864200592},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.4228469729423523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32003217935562134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30750709772109985},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.2038545310497284},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14664071798324585},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08042705059051514},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07348689436912537},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W163332037","https://openalex.org/W1498436455","https://openalex.org/W1986492056","https://openalex.org/W2005224555","https://openalex.org/W2007144896","https://openalex.org/W2038227658","https://openalex.org/W2076396122","https://openalex.org/W2113283043","https://openalex.org/W2121040459","https://openalex.org/W2141599568","https://openalex.org/W2148763605","https://openalex.org/W2153579005","https://openalex.org/W2251769296","https://openalex.org/W3158986179","https://openalex.org/W4246334968","https://openalex.org/W4294170691","https://openalex.org/W6629815555","https://openalex.org/W6680890276","https://openalex.org/W6682222068","https://openalex.org/W6682691769","https://openalex.org/W6795224213"],"related_works":["https://openalex.org/W4312527695","https://openalex.org/W4312264180","https://openalex.org/W48031615","https://openalex.org/W4239093923","https://openalex.org/W3021551309","https://openalex.org/W4387319732","https://openalex.org/W4251355905","https://openalex.org/W2113663012","https://openalex.org/W4236969978","https://openalex.org/W4388290529"],"abstract_inverted_index":{"We":[0],"proposed":[1,72,118],"a":[2,6,11,126],"search":[3,59],"method":[4,73,119],"with":[5],"query":[7],"by":[8,61],"example":[9],"in":[10,16,27,34,44,65,69,96,102,107],"known":[12],"domain":[13],"for":[14],"information":[15],"an":[17],"unknown":[18],"domain.":[19],"It":[20],"seems":[21],"natural":[22],"the":[23,40,62,92,111,117],"relation":[24,63,93],"that":[25,94,116],"\u201cPikachu":[26,64,106],"2000s\u201d":[28,108],"which":[29],"is":[30,74,98],"similar":[31,99],"to":[32,79,100,105,109],"\u201cDumbo":[33,95],"1980s.\u201d":[35,70],"Pikachu":[36],"and":[37,56,104,132],"Dumbo":[38,60,68],"are":[39,125],"popular":[41],"animation":[42],"characters":[43],"these":[45],"decades.":[46],"For":[47],"example,":[48],"given":[49],"three":[50],"entities,":[51],"such":[52,90],"as":[53,67,91],"Pikachu,":[54],"2000s":[55,66],"1980s,":[57],"we":[58,85],"The":[71],"based":[75],"on":[76,87],"transformation":[77],"matrices":[78],"bridge":[80],"word":[81],"vector":[82],"spaces.":[83],"Especially,":[84],"focus":[86],"transitive":[88],"relations":[89],"1980s\u201d":[97],"\u201cGarfield":[101],"1990s\u201d":[103],"solve":[110],"problem.":[112],"Experimental":[113],"results":[114],"show":[115],"has":[120],"some":[121],"advantage":[122],"when":[123],"there":[124],"little":[127],"common":[128],"words":[129],"between":[130],"source":[131],"target":[133],"terms.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}