{"id":"https://openalex.org/W4406458541","doi":"https://doi.org/10.1109/bigdata62323.2024.10825229","title":"Word Archipelagoes for Explaining Contextual Shifts in Sequential Actions and Events","display_name":"Word Archipelagoes for Explaining Contextual Shifts in Sequential Actions and Events","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458541","doi":"https://doi.org/10.1109/bigdata62323.2024.10825229"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5060604714","display_name":"Yukio Ohsawa","orcid":"https://orcid.org/0000-0003-2943-2547"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yukio Ohsawa","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060604714"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.237001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6757","last_page":"6764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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":0.994700014591217,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9894999861717224,"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/archipelago","display_name":"Archipelago","score":0.6553483009338379},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6412488222122192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6321918964385986},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4519042372703552},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4144347608089447},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1950356364250183}],"concepts":[{"id":"https://openalex.org/C204207459","wikidata":"https://www.wikidata.org/wiki/Q33837","display_name":"Archipelago","level":2,"score":0.6553483009338379},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6412488222122192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6321918964385986},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4519042372703552},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4144347608089447},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1950356364250183},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W88154610","https://openalex.org/W1585930422","https://openalex.org/W1638133288","https://openalex.org/W1852422273","https://openalex.org/W2016340943","https://openalex.org/W2072644219","https://openalex.org/W2120615054","https://openalex.org/W2133286915","https://openalex.org/W2150165932","https://openalex.org/W2165200277","https://openalex.org/W2402876178","https://openalex.org/W2604520536","https://openalex.org/W2885861467","https://openalex.org/W2889765309","https://openalex.org/W2890179025","https://openalex.org/W2897983179","https://openalex.org/W2954503794","https://openalex.org/W2963341956","https://openalex.org/W2973226110","https://openalex.org/W2979977993","https://openalex.org/W2988217457","https://openalex.org/W3100961415","https://openalex.org/W3165003809","https://openalex.org/W6632312483","https://openalex.org/W6638931011","https://openalex.org/W6681608319","https://openalex.org/W6684434663","https://openalex.org/W6713187079","https://openalex.org/W6769218602","https://openalex.org/W7015831105"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W101745730","https://openalex.org/W2353625363","https://openalex.org/W2333653566","https://openalex.org/W7759790","https://openalex.org/W2740926310","https://openalex.org/W2326065431","https://openalex.org/W2296205523"],"abstract_inverted_index":{"Text,":[0],"as":[1,111],"data":[2,23],"which":[3,54],"can":[4],"represent":[5],"actors\u2019":[6],"behaviors":[7],"with":[8,20,151,222],"the":[9,32,41,51,76,86,100,112,116,128,135,140,145,148,152,162,165,169,183,192,196,203,207,211,227],"reflection":[10],"of":[11,34,43,46,67,79,88,96,99,102,123,137,147,154,164,182,187,210],"emotional":[12],"dimension,":[13],"is":[14,83,93,109,118,131,186,202],"expected":[15],"to":[16,59,70,127],"be":[17],"used":[18],"combined":[19],"physical":[21],"mobility":[22],"for":[24,40,48,218],"explaining":[25],"contextual":[26,52,208,220],"continuity":[27],"and":[28,58,120],"transitions.":[29],"Even":[30],"in":[31,81,85,226,236,240],"era":[33],"LLM,":[35],"we":[36],"still":[37],"desire":[38],"methods":[39],"preparation":[42],"essential":[44],"parts":[45,163,193],"texts":[47],"finely":[49],"obtaining":[50],"shift":[53],"may":[55],"go":[56],"from":[57],"interleaving":[60],"meaningful":[61],"key-terms":[62],"rather":[63],"than":[64,191],"sheer":[65],"change":[66],"topics":[68],"corresponding":[69],"word":[71,117],"clusters.":[72],"In":[73],"this":[74],"study,":[75],"explanatory":[77,180],"relay":[78],"words":[80,170,225,235],"text":[82,130,167,184,228,237],"represented":[84],"form":[87,178],"archipelagoes.":[89],"Here,":[90,199],"each":[91,155],"archipelago":[92,122],"a":[94,103,124,230],"sequence":[95,114],"islands":[97],"composed":[98],"occurrences":[101,150],"certain":[104],"word.":[105],"An":[106],"island":[107],"here":[108],"interpreted":[110],"local":[113],"where":[115],"emphasized,":[119],"an":[121,179],"length":[125],"comparable":[126],"target":[129,166],"extracted":[132,194],"by":[133,195],"using":[134],"variation":[136],"entropy":[138,142,189,200,205],"type-A,":[139],"window-based":[141],"based":[143],"on":[144],"distribution":[146],"word\u2019s":[149],"width":[153],"time":[156],"window.":[157],"The":[158],"results":[159],"show":[160],"that":[161,185],"including":[168],"forming":[171],"archipelagoes":[172,216],"thus":[173],"extracted,":[174],"without":[175,229],"pre-learned":[176],"knowledge,":[177],"part":[181],"smaller":[188],"B":[190],"baseline":[197],"methods.":[198],"type-B":[201],"graph-based":[204],"representing":[206],"dispersion":[209],"text.":[212],"This":[213],"result":[214],"means":[215],"work,":[217],"extracting":[219],"flow":[221],"discarding":[223],"noisy":[224],"prepared":[231],"knowledge":[232],"about":[233],"stop":[234],"or":[238],"noises":[239],"sequential":[241],"data.":[242]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}