{"id":"https://openalex.org/W2794841650","doi":"https://doi.org/10.1587/transinf.2017edp7188","title":"Modeling Storylines in Lyrics","display_name":"Modeling Storylines in Lyrics","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2794841650","doi":"https://doi.org/10.1587/transinf.2017edp7188","mag":"2794841650"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2017edp7188","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7188","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/4/E101.D_2017EDP7188/_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,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/4/E101.D_2017EDP7188/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102735068","display_name":"Kento Watanabe","orcid":"https://orcid.org/0000-0001-8311-6073"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kento WATANABE","raw_affiliation_strings":["Tohoku University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079050003","display_name":"Yuichiroh Matsubayashi","orcid":"https://orcid.org/0000-0003-3363-1725"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiroh MATSUBAYASHI","raw_affiliation_strings":["Tohoku University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101815181","display_name":"Kentaro Inui","orcid":"https://orcid.org/0000-0001-6510-604X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro INUI","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project","Tohoku University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003098968","display_name":"Satoru Fukayama","orcid":"https://orcid.org/0000-0001-6506-2796"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoru FUKAYAMA","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039431216","display_name":"Tomoyasu Nakano","orcid":"https://orcid.org/0000-0001-8014-2209"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyasu NAKANO","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030650456","display_name":"Masataka Goto","orcid":"https://orcid.org/0000-0003-1167-0977"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masataka GOTO","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1638,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56636393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"E101.D","issue":"4","first_page":"1167","last_page":"1179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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":0.9987000226974487,"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/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/lyrics","display_name":"Lyrics","score":0.9491899013519287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932316064834595},{"id":"https://openalex.org/keywords/theme","display_name":"Theme (computing)","score":0.7931524515151978},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5542522668838501},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5375577807426453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507166862487793},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4637271761894226},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46065306663513184},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.45384544134140015},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.4434019923210144},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.438373327255249},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3425702452659607},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07058742642402649},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06925785541534424},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.06789875030517578}],"concepts":[{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.9491899013519287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932316064834595},{"id":"https://openalex.org/C33566652","wikidata":"https://www.wikidata.org/wiki/Q1065927","display_name":"Theme (computing)","level":2,"score":0.7931524515151978},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5542522668838501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5375577807426453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507166862487793},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4637271761894226},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46065306663513184},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.45384544134140015},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.4434019923210144},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.438373327255249},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3425702452659607},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07058742642402649},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06925785541534424},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.06789875030517578},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2017edp7188","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7188","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/4/E101.D_2017EDP7188/_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,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2017edp7188","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7188","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/4/E101.D_2017EDP7188/_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,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4983818369","display_name":"Detecting phrase similarity based on compositional symbolic computation and statistical knowledge acquisition using a large-scale corpus.","funder_award_id":"15K16045","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G582018286","display_name":"\u8a00\u8a9e\u60c5\u5831\u3068\u97f3\u697d\u60c5\u5831\u306e\u76f8\u4e92\u95a2\u4fc2\u3092\u8003\u616e\u3057\u305f\u6b4c\u8a5e\u306e\u69cb\u9020\u89e3\u6790\u3068\u751f\u6210","funder_award_id":"16J05945","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338113","display_name":"Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794841650.pdf","grobid_xml":"https://content.openalex.org/works/W2794841650.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W47006904","https://openalex.org/W116271097","https://openalex.org/W131896369","https://openalex.org/W165283731","https://openalex.org/W190008395","https://openalex.org/W207624782","https://openalex.org/W591222336","https://openalex.org/W1245470533","https://openalex.org/W1519655822","https://openalex.org/W1539673959","https://openalex.org/W1540921703","https://openalex.org/W1654173042","https://openalex.org/W2013029404","https://openalex.org/W2059363583","https://openalex.org/W2072644219","https://openalex.org/W2097089247","https://openalex.org/W2100690397","https://openalex.org/W2118370253","https://openalex.org/W2123442489","https://openalex.org/W2123991323","https://openalex.org/W2125814131","https://openalex.org/W2135801767","https://openalex.org/W2153579005","https://openalex.org/W2167702024","https://openalex.org/W2250539671","https://openalex.org/W2250842199","https://openalex.org/W2251949648","https://openalex.org/W2252142049","https://openalex.org/W2401535262","https://openalex.org/W2540286278","https://openalex.org/W2553169610","https://openalex.org/W2563845258","https://openalex.org/W2574634960","https://openalex.org/W2593469111"],"related_works":["https://openalex.org/W2798760675","https://openalex.org/W1537165554","https://openalex.org/W3031970385","https://openalex.org/W2008872612","https://openalex.org/W3102628894","https://openalex.org/W2962839482","https://openalex.org/W2528613027","https://openalex.org/W2163194442","https://openalex.org/W2033530841","https://openalex.org/W4302211199"],"abstract_inverted_index":{"This":[0,157],"paper":[1],"addresses":[2],"the":[3,7,14,20,89,103,142,149,183,196,217,224],"issue":[4],"of":[5,10,36,40,58,75,83,91,115,175,180,192,219,226,228],"modeling":[6,225],"discourse":[8],"nature":[9],"lyrics":[11,118,166],"and":[12,26,42,78,106,122,205],"presented":[13],"first":[15],"study":[16,99],"aiming":[17],"at":[18,46],"capturing":[19],"two":[21,139],"common":[22],"discourse-related":[23],"notions:":[24],"storylines":[25,162,227],"themes.":[27],"We":[28,51],"assume":[29],"that":[30,54,79,160,215],"a":[31,34,43,65,71,81,112,172,186],"storyline":[32],"is":[33,86],"chain":[35],"transitions":[37,55,74,85,146,153,176,194],"over":[38,56,73,177],"topics":[39,57,77,179],"segments":[41,60],"song":[44],"has":[45],"least":[47],"one":[48],"entire":[49],"theme.":[50],"then":[52],"hypothesize":[53],"lyric":[59],"can":[61,135,213],"be":[62,136],"captured":[63,170],"by":[64,88],"probabilistic":[66,173],"topic":[67,84,145,152,193],"model":[68,150,184],"which":[69],"incorporates":[70],"distribution":[72,82,174],"latent":[76,178,187],"such":[80,199],"affected":[87],"theme":[90,188,220],"lyrics.":[92,229],"Aiming":[93],"to":[94,223],"test":[95],"those":[96],"hypotheses,":[97],"this":[98,210],"conducts":[100],"experiments":[101,134],"on":[102,190],"word":[104,155,203],"prediction":[105,109,204],"segment":[107,206],"order":[108,207],"tasks":[110],"exploiting":[111],"large-scale":[113],"corpus":[114],"popular":[116],"music":[117],"for":[119],"both":[120,202],"English":[121],"Japanese":[123],"(around":[124],"100":[125],"thousand":[126],"songs).":[127],"The":[128],"findings":[129],"we":[130,212],"gained":[131],"from":[132],"these":[133],"summarized":[137],"into":[138],"respects.":[140],"First,":[141],"models":[143,197],"with":[144],"significantly":[147],"outperformed":[148,195],"without":[151,198],"in":[154,164,201],"prediction.":[156,208],"result":[158],"indicates":[159],"typical":[161],"included":[163],"our":[165],"datasets":[167],"were":[168],"effectively":[169],"as":[171],"segments.":[181],"Second,":[182],"incorporating":[185],"variable":[189],"top":[191],"variables":[200],"From":[209],"result,":[211],"conclude":[214],"considering":[216],"notion":[218],"does":[221],"contribute":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}