{"id":"https://openalex.org/W2978853742","doi":"https://doi.org/10.18653/v1/d19-6103","title":"A logical-based corpus for cross-lingual evaluation","display_name":"A logical-based corpus for cross-lingual evaluation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978853742","doi":"https://doi.org/10.18653/v1/d19-6103","mag":"2978853742"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-6103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-6103","pdf_url":"https://www.aclweb.org/anthology/D19-6103.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-6103.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079291629","display_name":"Felipe Salvatore","orcid":null},"institutions":[{"id":"https://openalex.org/I1298354342","display_name":"Brazilian Institute of Geography and Statistics","ror":"https://ror.org/0101zye71","country_code":"BR","type":"government","lineage":["https://openalex.org/I1298354342"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Salvatore","raw_affiliation_strings":["Department of Computer Science, Instituto de Matemtica e Estatstica, University of So Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Instituto de Matemtica e Estatstica, University of So Paulo, Brazil","institution_ids":["https://openalex.org/I1298354342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024395125","display_name":"Marcelo Finger","orcid":"https://orcid.org/0000-0002-1391-1175"},"institutions":[{"id":"https://openalex.org/I1298354342","display_name":"Brazilian Institute of Geography and Statistics","ror":"https://ror.org/0101zye71","country_code":"BR","type":"government","lineage":["https://openalex.org/I1298354342"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Finger","raw_affiliation_strings":["Department of Computer Science, Instituto de Matemtica e Estatstica, University of So Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Instituto de Matemtica e Estatstica, University of So Paulo, Brazil","institution_ids":["https://openalex.org/I1298354342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006191190","display_name":"Roberto Hirata","orcid":"https://orcid.org/0000-0003-3861-7260"},"institutions":[{"id":"https://openalex.org/I1298354342","display_name":"Brazilian Institute of Geography and Statistics","ror":"https://ror.org/0101zye71","country_code":"BR","type":"government","lineage":["https://openalex.org/I1298354342"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Roberto Hirata Jr","raw_affiliation_strings":["Department of Computer Science, Instituto de Matemtica e Estatstica, University of So Paulo, Brazil","University of S\u00e3o Paulo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Instituto de Matemtica e Estatstica, University of So Paulo, Brazil","institution_ids":["https://openalex.org/I1298354342"]},{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2892,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67351423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.993399977684021,"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/computer-science","display_name":"Computer science","score":0.7972750067710876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081583738327026},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6494817733764648},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6254246830940247},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5315992832183838},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5228248834609985},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5125155448913574},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4746944308280945},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4742128849029541},{"id":"https://openalex.org/keywords/contradiction","display_name":"Contradiction","score":0.4554344117641449},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4435274600982666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.365029513835907},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22941854596138},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.077700674533844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972750067710876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081583738327026},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6494817733764648},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6254246830940247},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5315992832183838},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5228248834609985},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5125155448913574},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4746944308280945},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4742128849029541},{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.4554344117641449},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4435274600982666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.365029513835907},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22941854596138},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.077700674533844},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.18653/v1/d19-6103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-6103","pdf_url":"https://www.aclweb.org/anthology/D19-6103.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.05704","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.05704","pdf_url":"https://arxiv.org/pdf/1905.05704","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2978853742","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/1905.05704.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1905.05704","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.05704","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.60692/0c3e1-jd677","is_oa":true,"landing_page_url":"https://doi.org/10.60692/0c3e1-jd677","pdf_url":null,"source":{"id":"https://openalex.org/S7407051682","display_name":"Greater South Information System","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.60692/5g654-3hp52","is_oa":true,"landing_page_url":"https://doi.org/10.60692/5g654-3hp52","pdf_url":null,"source":{"id":"https://openalex.org/S7407051682","display_name":"Greater South Information System","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-6103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-6103","pdf_url":"https://www.aclweb.org/anthology/D19-6103.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1067875432","display_name":null,"funder_award_id":"2015/01587","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G1139104289","display_name":null,"funder_award_id":"2014/12236-1","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G2313742006","display_name":null,"funder_award_id":"2015/24485-9","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G295657101","display_name":null,"funder_award_id":"2019/","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G3215658456","display_name":null,"funder_award_id":"2018-4","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3572101131","display_name":null,"funder_award_id":"2014/","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G3794326933","display_name":null,"funder_award_id":"Code 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4312984384","display_name":null,"funder_award_id":"2014/12236-1","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G4402799499","display_name":null,"funder_award_id":"2015/","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G5088577386","display_name":null,"funder_award_id":"2019/07665-4","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5658673143","display_name":null,"funder_award_id":"2019/07665-4","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6169639219","display_name":null,"funder_award_id":"2017/25835-9","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G6713122265","display_name":null,"funder_award_id":"2019/07665-4","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G674745710","display_name":null,"funder_award_id":"PQ 303609/2018-4","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7285438780","display_name":null,"funder_award_id":"2014/12236-1","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G8279803501","display_name":null,"funder_award_id":"2015/01587-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2978853742.pdf","grobid_xml":"https://content.openalex.org/works/W2978853742.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W2130158090","https://openalex.org/W2146113428","https://openalex.org/W2154474435","https://openalex.org/W2250539671","https://openalex.org/W2250790822","https://openalex.org/W2396767181","https://openalex.org/W2798665661","https://openalex.org/W2891555348","https://openalex.org/W2899771611","https://openalex.org/W2910243263","https://openalex.org/W2962736243","https://openalex.org/W2962843521","https://openalex.org/W2962911926","https://openalex.org/W2962989446","https://openalex.org/W2963042536","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963447120","https://openalex.org/W2963626623","https://openalex.org/W2963846996","https://openalex.org/W2963854351","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W2984978596","https://openalex.org/W2992872640","https://openalex.org/W3205874557","https://openalex.org/W2997789497","https://openalex.org/W3083811308","https://openalex.org/W2798524681","https://openalex.org/W2413604214","https://openalex.org/W2796191111","https://openalex.org/W2463188703","https://openalex.org/W2460747544","https://openalex.org/W2105946482","https://openalex.org/W3138631116","https://openalex.org/W2550132532","https://openalex.org/W2268376565","https://openalex.org/W3155935844","https://openalex.org/W2145945659","https://openalex.org/W3200292358","https://openalex.org/W3210441693","https://openalex.org/W2913293333","https://openalex.org/W2987352513"],"abstract_inverted_index":{"At":[0],"present,":[1],"different":[2,23,143],"deep":[3,95],"learning":[4,50,96,153],"models":[5,51,97,104],"are":[6,22],"presenting":[7],"high":[8],"accuracy":[9],"on":[10,69],"popular":[11],"inference":[12],"datasets":[13,27],"such":[14,80],"as":[15],"SNLI,":[16],"MNLI,":[17],"and":[18,87,105,156],"SciTail.":[19],"However,":[20],"there":[21,125],"indicators":[24],"that":[25,72,98,112],"those":[26],"can":[28,139],"be":[29,140],"exploited":[30],"by":[31],"using":[32],"some":[33],"simple":[34],"linguistic":[35,77],"patterns.":[36],"This":[37],"fact":[38],"poses":[39],"difficulties":[40],"to":[41,52,119],"our":[42],"understanding":[43],"of":[44,48,57,65,94,150],"the":[45,54,106,136],"actual":[46],"capacity":[47],"machine":[49],"solve":[53],"complex":[55],"task":[56],"textual":[58],"inference.":[59],"We":[60,90,110],"propose":[61],"a":[62,147],"new":[63],"set":[64],"syntactic":[66,137],"tasks":[67,138],"focused":[68],"contradiction":[70],"detection":[71],"require":[73],"specific":[74],"capacities":[75],"over":[76,121],"logical":[78,123],"forms":[79],"as:":[81],"Boolean":[82],"coordination,":[83],"quantifiers,":[84],"definite":[85],"description,":[86],"counting":[88,133],"operators.":[89,134],"evaluate":[91],"two":[92],"kinds":[93],"implicitly":[99],"exploit":[100],"language":[101],"structure:":[102],"recurrent":[103],"Transformer":[107],"network":[108],"BERT.":[109],"show":[111,146],"although":[113],"BERT":[114],"is":[115,126],"clearly":[116],"more":[117],"efficient":[118],"generalize":[120],"most":[122],"forms,":[124],"space":[127],"for":[128],"improvement":[129],"when":[130],"dealing":[131],"with":[132],"Since":[135],"implemented":[141],"in":[142],"languages,":[144],"we":[145],"successful":[148],"case":[149],"crosslingual":[151],"transfer":[152],"between":[154],"English":[155],"Portuguese.":[157]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}
