{"id":"https://openalex.org/W3201122393","doi":"https://doi.org/10.1109/access.2021.3112541","title":"Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition","display_name":"Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201122393","doi":"https://doi.org/10.1109/access.2021.3112541","mag":"3201122393"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3112541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3112541","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09536733.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09536733.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020861976","display_name":"Kaihong Zheng","orcid":"https://orcid.org/0000-0001-6291-0198"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaihong Zheng","raw_affiliation_strings":["Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China. (e-mail: zheng_kh@163.com)","Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China"],"raw_orcid":"https://orcid.org/0000-0001-6291-0198","affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China. (e-mail: zheng_kh@163.com)","institution_ids":["https://openalex.org/I74872605"]},{"raw_affiliation_string":"Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044671587","display_name":"Jingfeng Yang","orcid":"https://orcid.org/0000-0002-3682-1666"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Yang","raw_affiliation_strings":["China Southern Power Grid Co., Ltd.,Guangzhou 510663, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Co., Ltd.,Guangzhou 510663, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035016302","display_name":"Lukun Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lukun Zeng","raw_affiliation_strings":["Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052176475","display_name":"Qihang Gong","orcid":"https://orcid.org/0000-0002-0071-8456"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Gong","raw_affiliation_strings":["Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053726259","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0001-7636-3797"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101192302","display_name":"Shangli Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangli Zhou","raw_affiliation_strings":["Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020861976"],"corresponding_institution_ids":["https://openalex.org/I74872605"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4631,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62143336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"133491","last_page":"133499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9930999875068665,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9883999824523926,"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/metering-mode","display_name":"Metering mode","score":0.719531238079071},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6267436742782593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912008285522461},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.48458683490753174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36698800325393677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35876214504241943},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3412194848060608},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.24653425812721252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2105102241039276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16849082708358765},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1653035283088684}],"concepts":[{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.719531238079071},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6267436742782593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912008285522461},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.48458683490753174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36698800325393677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35876214504241943},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3412194848060608},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.24653425812721252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2105102241039276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16849082708358765},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1653035283088684},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3112541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3112541","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09536733.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b96268c4546f4d30ae9bc37d3ad769b0","is_oa":true,"landing_page_url":"https://doaj.org/article/b96268c4546f4d30ae9bc37d3ad769b0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 133491-133499 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3112541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3112541","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09536733.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320323059","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50"},{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201122393.pdf","grobid_xml":"https://content.openalex.org/works/W3201122393.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1951325712","https://openalex.org/W2300469216","https://openalex.org/W2330149175","https://openalex.org/W2772350809","https://openalex.org/W2807800730","https://openalex.org/W2963403868","https://openalex.org/W2963625095","https://openalex.org/W2983180560","https://openalex.org/W2991463832","https://openalex.org/W3033683242","https://openalex.org/W3115095335","https://openalex.org/W3152589825","https://openalex.org/W3153336775","https://openalex.org/W4300512169","https://openalex.org/W4394652918","https://openalex.org/W6608477623","https://openalex.org/W6685810106"],"related_works":["https://openalex.org/W2384104878","https://openalex.org/W2360352189","https://openalex.org/W2054457760","https://openalex.org/W2351145417","https://openalex.org/W4288765096","https://openalex.org/W2082239223","https://openalex.org/W4382774707","https://openalex.org/W2377181419","https://openalex.org/W2366499250","https://openalex.org/W4210889285"],"abstract_inverted_index":{"In":[0,67],"recent":[1],"years,":[2],"knowledge":[3,9,25],"graphs":[4],"are":[5,55,65],"applied":[6],"to":[7,74,80],"provide":[8],"support":[10,13],"and":[11,18,35,58,94,106,129],"data":[12],"for":[14,102,111],"power":[15,23,28,51,62,76,91,135],"grid":[16],"monitoring":[17],"decision-making.":[19],"To":[20],"construct":[21],"a":[22,72],"metering":[24,29,52,63,77,92,136],"graph,":[26],"the":[27,38,47,82,117,123,126,142],"entities":[30,64,105],"should":[31],"be":[32],"effectively":[33],"recognized":[34],"extracted.":[36],"However,":[37],"existing":[39],"machine":[40,145],"learning":[41,146],"models":[42],"do":[43],"not":[44],"fully":[45],"consider":[46],"situation":[48],"that":[49,131],"some":[50,61],"entities\u2019":[53],"names":[54,115],"partially":[56],"overlapping":[57,113],"boundaries":[59],"of":[60,84,125],"fuzzy.":[66],"this":[68],"paper,":[69],"we":[70,88,96,121],"propose":[71],"Bi-order-Transformer-CRF":[73,132],"recognize":[75],"entities.":[78],"Specifically,":[79],"alleviate":[81],"problem":[83],"fuzzy":[85],"entity":[86,114,137],"boundaries,":[87],"train":[89],"our":[90],"word-vectors,":[93],"then":[95],"design":[97],"Neural":[98],"Cosine":[99],"Similarity":[100],"Function":[101],"distinguishing":[103],"similar":[104],"Bi-order":[107],"Feature":[108],"Extracting":[109],"Mechanism":[110],"recognizing":[112],"in":[116,148],"proposed":[118,127],"Bi-order-Transformer-CRF.":[119],"Moreover,":[120],"analyze":[122],"complexity":[124],"methods":[128,147],"verify":[130],"achieves":[133],"better":[134],"recognition":[138],"results":[139],"compared":[140],"with":[141],"commonly":[143],"used":[144],"experiments.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
