{"id":"https://openalex.org/W4387844731","doi":"https://doi.org/10.1007/s10579-023-09679-8","title":"Text augmentation for semantic frame induction and parsing","display_name":"Text augmentation for semantic frame induction and parsing","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387844731","doi":"https://doi.org/10.1007/s10579-023-09679-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10579-023-09679-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10579-023-09679-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09679-8.pdf","source":{"id":"https://openalex.org/S4306424877","display_name":"Language Resources and Evaluation","issn_l":"1574-020X","issn":["1574-020X","1574-0218"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language Resources and Evaluation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09679-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Saba Anwar","orcid":"https://orcid.org/0000-0002-8344-5165"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Saba Anwar","raw_affiliation_strings":["Universit\u00e4t Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071397402","display_name":"Artem Shelmanov","orcid":"https://orcid.org/0000-0002-2151-6212"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Artem Shelmanov","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047490968","display_name":"Nikolay Arefyev","orcid":null},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Nikolay Arefyev","raw_affiliation_strings":["University of Oslo, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026157285","display_name":"Alexander Panchenko","orcid":"https://orcid.org/0000-0001-6097-6118"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Panchenko","raw_affiliation_strings":["Artificial Intelligence Research Institute, Moscow, Russia","Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, Moscow, Russia","institution_ids":[]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021287757","display_name":"Chris Biemann","orcid":"https://orcid.org/0000-0002-8449-9624"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chris Biemann","raw_affiliation_strings":["Universit\u00e4t Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159176309"],"apc_list":null,"apc_paid":null,"fwci":0.1728,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57675546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"58","issue":"2","first_page":"363","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T10260","display_name":"Software Engineering Research","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8489046692848206},{"id":"https://openalex.org/keywords/framenet","display_name":"FrameNet","score":0.8069497346878052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7716470956802368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6825854778289795},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.638950765132904},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6343331933021545},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5505752563476562},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.4411916732788086},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4387189745903015},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4282808303833008},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3286958932876587},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15197136998176575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8489046692848206},{"id":"https://openalex.org/C185754541","wikidata":"https://www.wikidata.org/wiki/Q1322093","display_name":"FrameNet","level":3,"score":0.8069497346878052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7716470956802368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6825854778289795},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.638950765132904},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6343331933021545},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5505752563476562},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.4411916732788086},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4387189745903015},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4282808303833008},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3286958932876587},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15197136998176575},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10579-023-09679-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10579-023-09679-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09679-8.pdf","source":{"id":"https://openalex.org/S4306424877","display_name":"Language Resources and Evaluation","issn_l":"1574-020X","issn":["1574-020X","1574-0218"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language Resources and Evaluation","raw_type":"journal-article"},{"id":"pmh:oai:www.duo.uio.no:10852/108615","is_oa":true,"landing_page_url":"http://hdl.handle.net/10852/108615","pdf_url":null,"source":{"id":"https://openalex.org/S4306401717","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"1574-020X","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10579-023-09679-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10579-023-09679-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09679-8.pdf","source":{"id":"https://openalex.org/S4306424877","display_name":"Language Resources and Evaluation","issn_l":"1574-020X","issn":["1574-020X","1574-0218"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language Resources and Evaluation","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6024419964","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8928656450","display_name":null,"funder_award_id":"Projekt DEAL","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320323381","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387844731.pdf"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W204794350","https://openalex.org/W337163996","https://openalex.org/W1626542014","https://openalex.org/W2063052951","https://openalex.org/W2081580037","https://openalex.org/W2091494174","https://openalex.org/W2109169419","https://openalex.org/W2115792525","https://openalex.org/W2116512345","https://openalex.org/W2117510361","https://openalex.org/W2135891920","https://openalex.org/W2143002608","https://openalex.org/W2153579005","https://openalex.org/W2158847908","https://openalex.org/W2166776180","https://openalex.org/W2168963845","https://openalex.org/W2178887482","https://openalex.org/W2250225488","https://openalex.org/W2250539671","https://openalex.org/W2250600805","https://openalex.org/W2250861254","https://openalex.org/W2251332263","https://openalex.org/W2251681628","https://openalex.org/W2251771443","https://openalex.org/W2252024278","https://openalex.org/W2469565805","https://openalex.org/W2493916176","https://openalex.org/W2579057432","https://openalex.org/W2607305785","https://openalex.org/W2728192282","https://openalex.org/W2741306347","https://openalex.org/W2777063654","https://openalex.org/W2799264847","https://openalex.org/W2804076699","https://openalex.org/W2804677078","https://openalex.org/W2888282873","https://openalex.org/W2888882903","https://openalex.org/W2896457183","https://openalex.org/W2936215830","https://openalex.org/W2945648439","https://openalex.org/W2947915358","https://openalex.org/W2950813464","https://openalex.org/W2951652751","https://openalex.org/W2953038430","https://openalex.org/W2953824385","https://openalex.org/W2953868689","https://openalex.org/W2962739339","https://openalex.org/W2962909572","https://openalex.org/W2963851958","https://openalex.org/W2979826702","https://openalex.org/W2981852735","https://openalex.org/W2985963672","https://openalex.org/W2995437014","https://openalex.org/W3034999214","https://openalex.org/W3100829063","https://openalex.org/W3113759118","https://openalex.org/W3115431956","https://openalex.org/W3154772965","https://openalex.org/W3156777896","https://openalex.org/W3169483174","https://openalex.org/W3214193653","https://openalex.org/W6600437753","https://openalex.org/W6632682031","https://openalex.org/W6638398339","https://openalex.org/W6639619044","https://openalex.org/W6639874082","https://openalex.org/W6691379673","https://openalex.org/W6691850744","https://openalex.org/W6739901393","https://openalex.org/W6835331131","https://openalex.org/W6954717305"],"related_works":["https://openalex.org/W2277572671","https://openalex.org/W2065675538","https://openalex.org/W1578402885","https://openalex.org/W2251195394","https://openalex.org/W2740310464","https://openalex.org/W3214385428","https://openalex.org/W2159805431","https://openalex.org/W2038288562","https://openalex.org/W337163996","https://openalex.org/W109605897"],"abstract_inverted_index":{"Abstract":[0],"Semantic":[1],"frames":[2],"are":[3,61,290],"formal":[4],"structures":[5],"describing":[6],"situations,":[7],"actions":[8],"or":[9,17,28,79,208,439],"events,":[10],"e.g.,":[11],"Commerce":[12],"buy":[13],",":[14,16,57,66,78],"Kidnapping":[15,56],"Exchange":[18],".":[19,81],"Each":[20],"frame":[21,26,48,55,69,90,102,139,150,299],"provides":[22],"a":[23,115,121,375],"set":[24,377,405,426],"of":[25,34,88,101,130,158,177,189,215,266,275,283,311,314,333,357,363,370,378,406],"elements":[27],"semantic":[29,89,134,149,410],"roles":[30,60,135],"corresponding":[31,386],"to":[32,154,328],"participants":[33],"the":[35,54,64,85,98,137,145,156,174,212,247,264,281,294,298,312,331,340,354,361,368,401,420],"situation":[36],"and":[37,41,63,67,92,106,125,133,182,201,297,301,381,403],"lexical":[38,74,95,128,131,218,349,365],"units":[39,75,132],"(LUs)\u2014words":[40],"phrases":[42],"that":[43,117,144,256,272,339,413],"can":[44,70,278],"evoke":[45],"this":[46,68,110,358],"particular":[47],"in":[49],"texts.":[50],"For":[51,351],"example,":[52],"for":[53,180,348,367,418,431,436],"two":[58,171,409],"key":[59],"Perpetrator":[62],"Victim":[65],"be":[71,303],"evoked":[72],"with":[73,186,322,389,408],"abduct,":[76],"kidnap":[77],"snatcher":[80],"While":[82],"formally":[83],"sound,":[84],"scarce":[86],"availability":[87],"resources":[91,435],"their":[93,390],"limited":[94],"coverage":[96],"hinders":[97],"wider":[99],"adoption":[100],"semantics":[103],"across":[104],"languages":[105,438],"domains.":[107,441],"To":[108,161],"tackle":[109],"problem,":[111],"firstly,":[112],"we":[113,142,166,184,254,317],"propose":[114],"method":[116,415],"takes":[118],"as":[119,192,206,428,430],"input":[120],"few":[122],"frame-annotated":[123,379],"sentences":[124,380],"generates":[126],"alternative":[127],"realizations":[129],"matching":[136],"original":[138,402],"definition.":[140],"Secondly,":[141],"show":[143,228,260,271,338,412],"obtained":[146,393],"synthetically":[147],"generated":[148],"annotated":[151],"examples":[152],"help":[153],"improve":[155,280],"quality":[157,282],"frame-semantic":[159,371],"parsing.":[160,372],"evaluate":[162],"our":[163,168,334,414],"proposed":[164],"approach,":[165],"decompose":[167],"work":[169,359],"into":[170],"parts.":[172],"In":[173],"first":[175],"part":[176,356],"text":[178],"augmentation":[179],"LUs":[181],"roles,":[183],"experiment":[185],"various":[187],"types":[188],"models":[190,239,258,277],"such":[191,205],"distributional":[193],"thesauri,":[194],"non-contextualized":[195,257],"word":[196,249],"embeddings":[197],"(word2vec,":[198],"fastText,":[199],"GloVe),":[200],"Transformer-based":[202],"contextualized":[203],"models,":[204],"BERT":[207],"XLNet.":[209],"We":[210,269,373],"perform":[211],"intrinsic":[213,287],"evaluation":[214,288,308,324,342,347],"these":[216,364],"induced":[217],"substitutes":[219,274,366],"using":[220],"FrameNet":[221],"gold":[222,295,315],"annotations.":[223],"Models":[224],"based":[225],"on":[226,241,263,293,325,400],"Transformers":[227],"overall":[229],"superior":[230],"performance,":[231],"however,":[232],"they":[233],"do":[234],"not":[235],"always":[236],"outperform":[237],"simpler":[238],"(based":[240],"static":[242],"embeddings)":[243],"unless":[244],"information":[245],"about":[246],"target":[248,387],"is":[250,416],"suitably":[251],"injected.":[252],"However,":[253],"observe":[255],"also":[259,270,318],"comparable":[261],"performance":[262],"task":[265,423],"LU":[267],"expansion.":[268],"combining":[273],"individual":[276],"significantly":[279,344],"final":[284],"substitutes.":[285],"Because":[286],"scores":[289],"highly":[291],"dependent":[292],"dataset":[296],"preservation,":[300],"cannot":[302],"ensured":[304],"by":[305,384,424],"an":[306],"automatic":[307,346],"mechanism":[309],"because":[310],"incompleteness":[313],"datasets,":[316],"carried":[319],"out":[320],"experiments":[321,399],"manual":[323,341],"sample":[326],"datasets":[327],"further":[329],"analyze":[330],"usefulness":[332],"approach.":[335],"The":[336],"results":[337],"framework":[343],"outperforms":[345],"substitution.":[350],"extrinsic":[352],"evaluation,":[353],"second":[355],"assesses":[360],"utility":[362],"improvement":[369],"took":[374],"small":[376],"augmented":[382,404],"them":[383],"replacing":[385],"words":[388],"closest":[391],"substitutes,":[392],"from":[394],"best-performing":[395],"models.":[396],"Our":[397],"extensive":[398],"annotations":[407],"parsers":[411],"effective":[417],"improving":[419],"downstream":[421],"parsing":[422],"training":[425],"augmentation,":[427],"well":[429],"quickly":[432],"building":[433],"FrameNet-like":[434],"new":[437],"subject":[440]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
