{"id":"https://openalex.org/W3132753749","doi":"https://doi.org/10.1109/tpami.2021.3060449","title":"Natural Language Video Localization: A Revisit in Span-based Question Answering Framework","display_name":"Natural Language Video Localization: A Revisit in Span-based Question Answering Framework","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3132753749","doi":"https://doi.org/10.1109/tpami.2021.3060449","mag":"3132753749","pmid":"https://pubmed.ncbi.nlm.nih.gov/33621165"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3060449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3060449","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.13558","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067846625","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-2725-6458"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["[C&I, Institute of High Performance Computing, 208717 Singapore, Singapore, Singapore, (e-mail: hzhang26@outlook.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[C&I, Institute of High Performance Computing, 208717 Singapore, Singapore, Singapore, (e-mail: hzhang26@outlook.com)]","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore, Singapore, Singapore, 639798 (e-mail: axsun@ntu.edu.sg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore, Singapore, Singapore, 639798 (e-mail: axsun@ntu.edu.sg)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Jing","raw_affiliation_strings":["[RAS, Institute for Infocomm Research, 68705 Singapore, Singapore, Singapore, (e-mail: 21wjing@gmail.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[RAS, Institute for Infocomm Research, 68705 Singapore, Singapore, Singapore, (e-mail: 21wjing@gmail.com)]","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086517854","display_name":"Liangli Zhen","orcid":"https://orcid.org/0000-0003-0481-3298"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liangli Zhen","raw_affiliation_strings":["[C&I, Institute of High Performance Computing, 208717 Singapore, Singapore, Singapore, (e-mail: zhenll@ihpc.a-star.edu.sg)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[C&I, Institute of High Performance Computing, 208717 Singapore, Singapore, Singapore, (e-mail: zhenll@ihpc.a-star.edu.sg)]","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045125183","display_name":"Joey Tianyi Zhou","orcid":"https://orcid.org/0000-0002-4675-7055"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joey Tianyi Zhou","raw_affiliation_strings":["CS, Institute of High Performance Computing, 208717 Singapore, Singapore, Singapore, 138632 (e-mail: joey.tianyi.zhou@gmail.com)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CS, Institute of High Performance Computing, 208717 Singapore, Singapore, Singapore, 138632 (e-mail: joey.tianyi.zhou@gmail.com)","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001599295","display_name":"Rick Siow Mong Goh","orcid":"https://orcid.org/0000-0001-9116-1595"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rick Siow Mong Goh","raw_affiliation_strings":["[Computing Science, A*STAR Institute of High Performance Computing, Singapore, Singapore, Singapore, 138632 (e-mail: gohsm@ihpc.a-star.edu.sg)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Computing Science, A*STAR Institute of High Performance Computing, Singapore, Singapore, Singapore, 138632 (e-mail: gohsm@ihpc.a-star.edu.sg)]","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3004594783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5371,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97866687,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"44","issue":"8","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9864000082015991,"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/computer-science","display_name":"Computer science","score":0.8495069742202759},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6233607530593872},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6054516434669495},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5773073434829712},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5714431405067444},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5405889749526978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171682238578796},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5062312483787537},{"id":"https://openalex.org/keywords/span","display_name":"Span (engineering)","score":0.4982478618621826},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4730193614959717},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41336753964424133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3547988831996918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8495069742202759},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6233607530593872},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6054516434669495},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5773073434829712},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5714431405067444},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5405889749526978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171682238578796},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5062312483787537},{"id":"https://openalex.org/C2778753569","wikidata":"https://www.wikidata.org/wiki/Q1960395","display_name":"Span (engineering)","level":2,"score":0.4982478618621826},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4730193614959717},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41336753964424133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3547988831996918},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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":3,"locations":[{"id":"doi:10.1109/tpami.2021.3060449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3060449","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:33621165","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33621165","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2102.13558","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.13558","pdf_url":"https://arxiv.org/pdf/2102.13558","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.13558","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.13558","pdf_url":"https://arxiv.org/pdf/2102.13558","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W1942126453","https://openalex.org/W2095705004","https://openalex.org/W2105482032","https://openalex.org/W2111078031","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2337252826","https://openalex.org/W2507756961","https://openalex.org/W2551396370","https://openalex.org/W2740747242","https://openalex.org/W2798354744","https://openalex.org/W2889185481","https://openalex.org/W2890502146","https://openalex.org/W2891456603","https://openalex.org/W2894280539","https://openalex.org/W2895583029","https://openalex.org/W2897628926","https://openalex.org/W2903901502","https://openalex.org/W2904824998","https://openalex.org/W2948958195","https://openalex.org/W2952728748","https://openalex.org/W2962718483","https://openalex.org/W2962869524","https://openalex.org/W2962949233","https://openalex.org/W2963017553","https://openalex.org/W2963080779","https://openalex.org/W2963095467","https://openalex.org/W2963393391","https://openalex.org/W2963403868","https://openalex.org/W2963524571","https://openalex.org/W2963542836","https://openalex.org/W2963662190","https://openalex.org/W2963748441","https://openalex.org/W2963871484","https://openalex.org/W2963898730","https://openalex.org/W2963916161","https://openalex.org/W2964023933","https://openalex.org/W2964089981","https://openalex.org/W2964121744","https://openalex.org/W2964220823","https://openalex.org/W2964232540","https://openalex.org/W2964298608","https://openalex.org/W2964308564","https://openalex.org/W2964343989","https://openalex.org/W2964348592","https://openalex.org/W2966848258","https://openalex.org/W2970401629","https://openalex.org/W2970898753","https://openalex.org/W2971105107","https://openalex.org/W2973836452","https://openalex.org/W2979933490","https://openalex.org/W2981750465","https://openalex.org/W2997429269","https://openalex.org/W2997591391","https://openalex.org/W2997762001","https://openalex.org/W2998355566","https://openalex.org/W2998495542","https://openalex.org/W2998712570","https://openalex.org/W3025323587","https://openalex.org/W3034636873","https://openalex.org/W3034743747","https://openalex.org/W3035339529","https://openalex.org/W3035640828","https://openalex.org/W3046947115","https://openalex.org/W3092739351","https://openalex.org/W3093174808","https://openalex.org/W3096935578","https://openalex.org/W3099388488","https://openalex.org/W3101429639","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6725207838","https://openalex.org/W6726253136","https://openalex.org/W6729263887","https://openalex.org/W6729654139","https://openalex.org/W6739901393","https://openalex.org/W6746261267","https://openalex.org/W6761423549","https://openalex.org/W6767057606","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W3157284875","https://openalex.org/W2259406085","https://openalex.org/W2099715052","https://openalex.org/W2147241511","https://openalex.org/W4226247999","https://openalex.org/W4213176082","https://openalex.org/W2187398150","https://openalex.org/W3209772662","https://openalex.org/W4200629926","https://openalex.org/W4220955952"],"abstract_inverted_index":{"Natural":[0],"Language":[1],"Video":[2],"Localization":[3],"(NLVL)":[4],"aims":[5],"to":[6,18,99,123,146,190,235],"locate":[7,191],"a":[8,19,64,78,83,112,131,150],"target":[9,172,193],"moment":[10,173,194],"from":[11,29,47,63],"an":[12,232],"untrimmed":[13,158],"video":[14,76,84,128,159],"that":[15,203,226],"semantically":[16],"corresponds":[17],"text":[20,79],"query.":[21],"Existing":[22],"approaches":[23],"mainly":[24],"solve":[25,236],"the":[26,30,61,74,92,104,126,136,157,171,176,182,192,204,210,215,227,237],"NLVL":[27,62,107,238],"problem":[28],"perspective":[31],"of":[32,91,178,217],"computer":[33],"vision":[34],"by":[35,72,148],"formulating":[36],"it":[37,165],"as":[38,77],"ranking,":[39],"anchor,":[40],"or":[41],"regression":[42],"tasks.":[43],"These":[44],"methods":[45],"suffer":[46],"large":[48],"performance":[49,137,218],"degradation":[50,138,219],"when":[51],"localizing":[52,86],"on":[53,89,139,198,220],"long":[54,140,221],"videos.":[55,222],"In":[56],"this":[57],"work,":[58],"we":[59,142],"address":[60,100,135],"new":[65],"perspective,":[66],"i.e.,":[67],"span-based":[68,94,109,228],"question":[69],"answering":[70],"(QA),":[71],"treating":[73],"input":[75],"passage.":[80],"We":[81],"propose":[82],"span":[85,129],"network":[87],"(VSLNet),":[88],"top":[90],"standard":[93],"QA":[95,110,229],"framework":[96,230],"(named":[97],"VSLBase),":[98],"NLVL.":[101],"VSLNet":[102,122,145,206],"tackles":[103],"differences":[105],"between":[106],"and":[108,174,207],"through":[111],"simple":[113],"yet":[114],"effective":[115,233],"query-guided":[116],"highlighting":[117],"(QGH)":[118],"strategy.":[119,153],"QGH":[120],"guides":[121],"search":[124],"for":[125],"matching":[127],"within":[130],"highlighted":[132],"region.":[133],"To":[134],"videos,":[141],"further":[143],"extend":[144],"VSLNet-L":[147,154,208,213],"applying":[149],"multi-scale":[151],"split-and-concatenation":[152],"first":[155],"splits":[156],"into":[160],"short":[161],"clip":[162,168,183],"segments;":[163],"then,":[164],"predicts":[166],"which":[167],"segment":[169],"contains":[170],"suppresses":[175],"importance":[177],"other":[179],"segments.":[180],"Finally,":[181],"segments":[184],"are":[185],"concatenated,":[186],"with":[187],"different":[188],"confidences,":[189],"accurately.":[195],"Extensive":[196],"experiments":[197],"three":[199],"benchmark":[200],"datasets":[201],"show":[202],"proposed":[205],"outperform":[209],"state-of-the-art":[211],"methods;":[212],"addresses":[214],"issue":[216],"Our":[223],"study":[224],"suggests":[225],"is":[231],"strategy":[234],"problem.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":8}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2021-03-01T00:00:00"}
