{"id":"https://openalex.org/W3137447835","doi":"https://doi.org/10.3390/informatics8010020","title":"The Rare Word Issue in Natural Language Generation: A Character-Based Solution","display_name":"The Rare Word Issue in Natural Language Generation: A Character-Based Solution","publication_year":2021,"publication_date":"2021-03-23","ids":{"openalex":"https://openalex.org/W3137447835","doi":"https://doi.org/10.3390/informatics8010020","mag":"3137447835"},"language":"en","primary_location":{"id":"doi:10.3390/informatics8010020","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics8010020","pdf_url":"https://www.mdpi.com/2227-9709/8/1/20/pdf?version=1616490996","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9709/8/1/20/pdf?version=1616490996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015514303","display_name":"Giovanni Bonetta","orcid":"https://orcid.org/0000-0003-4498-1026"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Bonetta","raw_affiliation_strings":["Department of Computer Science, University of Turin, 10149 Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Turin, 10149 Turin, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011113912","display_name":"Marco Roberti","orcid":"https://orcid.org/0000-0003-1430-7006"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Roberti","raw_affiliation_strings":["Department of Computer Science, University of Turin, 10149 Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Turin, 10149 Turin, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049044181","display_name":"R. Cancelliere","orcid":"https://orcid.org/0000-0002-9120-3799"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Rossella Cancelliere","raw_affiliation_strings":["Department of Computer Science, University of Turin, 10149 Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Turin, 10149 Turin, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103252936","display_name":"Patrick Gallinari","orcid":"https://orcid.org/0000-0002-5679-0617"},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]},{"id":"https://openalex.org/I4210159731","display_name":"Laboratoire de Recherche en Informatique de Paris 6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Gallinari","raw_affiliation_strings":["Criteo AI Lab, 75009 Paris, France","Laboratoire d\u2019Informatique de Paris 6, Sorbonne University, CNRS, 75005 Paris, France","MLIA - Machine Learning and Information Access (France)"],"affiliations":[{"raw_affiliation_string":"Criteo AI Lab, 75009 Paris, France","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"Laboratoire d\u2019Informatique de Paris 6, Sorbonne University, CNRS, 75005 Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049044181"],"corresponding_institution_ids":["https://openalex.org/I55143463"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.4192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67688032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"1","first_page":"20","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/copying","display_name":"Copying","score":0.8478295207023621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8383502960205078},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6716196537017822},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6714785695075989},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6065478324890137},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5847285985946655},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5557806491851807},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.5534701347351074},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5303037166595459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5253058075904846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5074371695518494},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49412253499031067},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4006188213825226},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3127232789993286},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16730117797851562}],"concepts":[{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.8478295207023621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8383502960205078},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6716196537017822},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6714785695075989},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6065478324890137},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5847285985946655},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5557806491851807},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.5534701347351074},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5303037166595459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5253058075904846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5074371695518494},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49412253499031067},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4006188213825226},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3127232789993286},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16730117797851562},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/informatics8010020","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics8010020","pdf_url":"https://www.mdpi.com/2227-9709/8/1/20/pdf?version=1616490996","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03184301v1","is_oa":true,"landing_page_url":"https://hal.sorbonne-universite.fr/hal-03184301","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics, 2021, 8 (1), pp.20. &#x27E8;10.3390/informatics8010020&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:327dd184f0ce439198b6223c0f8bd30d","is_oa":true,"landing_page_url":"https://doaj.org/article/327dd184f0ce439198b6223c0f8bd30d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics, Vol 8, Iss 1, p 20 (2021)","raw_type":"article"},{"id":"pmh:oai:iris.unito.it:2318/1787979","is_oa":true,"landing_page_url":"http://hdl.handle.net/2318/1787979","pdf_url":null,"source":{"id":"https://openalex.org/S4306400637","display_name":"Institutional Research Information System University of Turin (University of Turin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55143463","host_organization_name":"University of Turin","host_organization_lineage":["https://openalex.org/I55143463"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:mdpi.com:/2227-9709/8/1/20/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/informatics8010020","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Informatics; Volume 8; Issue 1; Pages: 20","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/informatics8010020","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics8010020","pdf_url":"https://www.mdpi.com/2227-9709/8/1/20/pdf?version=1616490996","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3137447835.pdf","grobid_xml":"https://content.openalex.org/works/W3137447835.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W196214544","https://openalex.org/W1815076433","https://openalex.org/W1902237438","https://openalex.org/W1948566616","https://openalex.org/W1956340063","https://openalex.org/W2016589492","https://openalex.org/W2078861931","https://openalex.org/W2101105183","https://openalex.org/W2113842233","https://openalex.org/W2123301721","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2204900930","https://openalex.org/W2304113845","https://openalex.org/W2429300145","https://openalex.org/W2518108298","https://openalex.org/W2578514770","https://openalex.org/W2604799547","https://openalex.org/W2606974598","https://openalex.org/W2732004306","https://openalex.org/W2739046565","https://openalex.org/W2769637628","https://openalex.org/W2787022103","https://openalex.org/W2889009749","https://openalex.org/W2889587596","https://openalex.org/W2890488938","https://openalex.org/W2902141901","https://openalex.org/W2902677561","https://openalex.org/W2905103081","https://openalex.org/W2914397182","https://openalex.org/W2935206035","https://openalex.org/W2945848244","https://openalex.org/W2949597526","https://openalex.org/W2952013107","https://openalex.org/W2952774808","https://openalex.org/W2953740644","https://openalex.org/W2962729880","https://openalex.org/W2962841959","https://openalex.org/W2962905474","https://openalex.org/W2963091658","https://openalex.org/W2963541420","https://openalex.org/W2963592583","https://openalex.org/W2963780708","https://openalex.org/W2963912046","https://openalex.org/W2964308564","https://openalex.org/W2971060546","https://openalex.org/W2996348081","https://openalex.org/W3017340784","https://openalex.org/W3019166713","https://openalex.org/W3031605722","https://openalex.org/W3096274078","https://openalex.org/W3099366427","https://openalex.org/W3105830849","https://openalex.org/W6631190155","https://openalex.org/W6682631176"],"related_works":["https://openalex.org/W1997182898","https://openalex.org/W2955859849","https://openalex.org/W2152921782","https://openalex.org/W382594479","https://openalex.org/W2470045054","https://openalex.org/W2575772232","https://openalex.org/W2017877785","https://openalex.org/W2151245229","https://openalex.org/W2140902089","https://openalex.org/W1510553545"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"analyze":[4],"the":[5,17,29,37,47,81,84,109,147,159,162,166,180,194,204],"problem":[6],"of":[7,19,69,83,111,126,175,185],"generating":[8,42],"fluent":[9],"English":[10],"utterances":[11],"from":[12,46,153],"tabular":[13],"data,":[14],"focusing":[15],"on":[16,158,171],"development":[18],"a":[20,72,88,112,127,172],"sequence-to-sequence":[21],"neural":[22],"model":[23],"which":[24,145],"shows":[25,97],"two":[26],"major":[27],"features:":[28],"ability":[30,38,148],"to":[31,39,123,149,178,200],"read":[32],"and":[33,36,43,87,104,118,170,196],"generate":[34],"character-wise,":[35],"switch":[40],"between":[41],"copying":[44,136,183],"characters":[45,67],"input:":[48],"an":[49,141],"essential":[50],"feature":[51],"when":[52],"inputs":[53,117],"contain":[54],"rare":[55,181],"words":[56,70],"like":[57,130],"proper":[58],"names,":[59],"telephone":[60],"numbers,":[61],"or":[62],"foreign":[63],"words.":[64],"Working":[65],"with":[66,140],"instead":[68],"is":[71,138],"challenge":[73],"that":[74,98],"can":[75,101],"bring":[76],"problems":[77],"such":[78],"as":[79],"increasing":[80],"difficulty":[82],"training":[85],"phase":[86],"bigger":[89],"error":[90],"probability":[91],"during":[92],"inference.":[93],"Nevertheless,":[94],"our":[95,135,186],"work":[96],"these":[99],"issues":[100],"be":[102,124],"solved":[103],"efforts":[105],"are":[106,120],"repaid":[107],"by":[108],"creation":[110],"fully":[113],"end-to-end":[114],"system,":[115],"whose":[116],"outputs":[119,151],"not":[121],"constrained":[122],"part":[125],"predefined":[128],"vocabulary,":[129],"in":[131,203],"word-based":[132],"models.":[133],"Furthermore,":[134],"technique":[137],"integrated":[139],"innovative":[142],"shift":[143],"mechanism,":[144],"enhances":[146],"produce":[150],"directly":[152],"inputs.":[154],"We":[155],"assess":[156],"performance":[157,198],"E2E":[160,167],"dataset,":[161],"benchmark":[163],"used":[164],"for":[165],"NLG":[168],"challenge,":[169],"modified":[173],"version":[174],"it,":[176],"created":[177],"highlight":[179],"word":[182],"capabilities":[184],"model.":[187],"The":[188],"results":[189],"demonstrate":[190],"clear":[191],"improvements":[192],"over":[193],"baseline":[195],"promising":[197],"compared":[199],"recent":[201],"techniques":[202],"literature.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2021-03-29T00:00:00"}
