{"id":"https://openalex.org/W2064930582","doi":"https://doi.org/10.1093/ietisy/e91-d.11.2589","title":"Entity Network Prediction Using Multitype Topic Models","display_name":"Entity Network Prediction Using Multitype Topic Models","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2064930582","doi":"https://doi.org/10.1093/ietisy/e91-d.11.2589","mag":"2064930582"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1093/ietisy/e91-d.11.2589","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E91.D/11/E91.D_11_2589/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E91.D/11/E91.D_11_2589/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000602051","display_name":"Hisayoshi Shiozaki","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. SHIOZAKI","raw_affiliation_strings":["Kobe University"],"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044714370","display_name":"Kei Eguchi","orcid":"https://orcid.org/0000-0002-1290-7975"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. EGUCHI","raw_affiliation_strings":["Kobe University"],"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040126789","display_name":"Takehiko Ohkawa","orcid":"https://orcid.org/0000-0003-2329-8797"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. OHKAWA","raw_affiliation_strings":["Kobe University"],"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.498,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.771724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":76},"biblio":{"volume":"E91-D","issue":"11","first_page":"2589","last_page":"2598"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Natural Language Processing","score":0.9995,"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":"Natural Language Processing","score":0.9995,"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/T10064","display_name":"Statistical Mechanics of Complex Networks","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Automatic Keyword Extraction from Textual Data","score":0.9966,"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/topic-modeling","display_name":"Topic Modeling","score":0.608412},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named Entity Recognition","score":0.530799},{"id":"https://openalex.org/keywords/word-representation","display_name":"Word Representation","score":0.516314},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.4637355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8777407},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5479073},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5433207},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5030853},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47702977},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.4637355},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4587837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40275636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36060163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33341295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3278072},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.13844898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.087459594},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1093/ietisy/e91-d.11.2589","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E91.D/11/E91.D_11_2589/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1093/ietisy/e91-d.11.2589","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E91.D/11/E91.D_11_2589/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.68,"id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1520377376","https://openalex.org/W1594112393","https://openalex.org/W1601068082","https://openalex.org/W1605873790","https://openalex.org/W1660390307","https://openalex.org/W1732828232","https://openalex.org/W1880262756","https://openalex.org/W2001082470","https://openalex.org/W2008620264","https://openalex.org/W2034173707","https://openalex.org/W2098401485","https://openalex.org/W2107743791","https://openalex.org/W2129414564","https://openalex.org/W2130428211","https://openalex.org/W2148606196","https://openalex.org/W2334889010","https://openalex.org/W4231510805","https://openalex.org/W4233135949"],"related_works":["https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W3200230513","https://openalex.org/W2962686197","https://openalex.org/W2769501189","https://openalex.org/W2582753012","https://openalex.org/W2226452791","https://openalex.org/W2132052677","https://openalex.org/W2032007337","https://openalex.org/W1569283511"],"abstract_inverted_index":{"Conveying":[0],"information":[1,58],"about":[2],"who,":[3],"what,":[4],"when":[5],"and":[6,28,40,65,90,118,142],"where":[7,41],"is":[8,132],"a":[9,47,63,66,71,124],"primary":[10],"purpose":[11],"of":[12,15,83,126,140,156],"some":[13,36],"genres":[14],"documents,":[16],"typically":[17],"news":[18],"articles.":[19],"Statistical":[20],"models":[21,52],"that":[22,74,98],"capture":[23],"dependencies":[24,78],"between":[25,38,62,79,144],"named":[26],"entities":[27,127,157],"topics":[29],"can":[30],"play":[31],"an":[32,80,116],"important":[33],"role.":[34],"Although":[35],"relationships":[37],"who":[39],"should":[42],"be":[43],"mentioned":[44,92],"in":[45,55,93,111,152],"such":[46,57,86],"document,":[48],"no":[49],"statistical":[50,72],"topic":[51,101],"explicitly":[53],"address":[54],"handling":[56],"the":[59,77,129,149,153],"textual":[60],"interactions":[61],"who-entity":[64],"where-entity.":[67],"This":[68],"paper":[69],"presents":[70],"model":[73,102],"directly":[75],"captures":[76],"arbitrary":[81],"number":[82],"word":[84],"types,":[85],"as":[87],"who-entities,":[88],"where-entities":[89],"topics,":[91],"each":[94,113,119],"document.":[95],"We":[96,146],"show":[97],"this":[99],"multitype":[100],"performs":[103],"better":[104],"at":[105,128],"making":[106],"predictions":[107,139],"on":[108,138],"entity":[109,117],"networks,":[110],"which":[112],"vertex":[114],"represents":[115,122],"edge":[120],"weight":[121],"how":[123],"pair":[125],"incident":[130],"vertices":[131],"closely":[133],"related,":[134],"through":[135],"our":[136],"experiments":[137],"who-entities":[141],"links":[143],"them.":[145],"also":[147],"demonstrate":[148],"scale-free":[150],"property":[151],"weighted":[154],"networks":[155],"extracted":[158],"from":[159],"written":[160],"mentions.":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2064930582","counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2024-09-30T06:54:39.998849","created_date":"2016-06-24"}