{"id":"https://openalex.org/W4388207110","doi":"https://doi.org/10.1109/tce.2023.3327681","title":"SCLert: A Span-Based Joint Model for Measurable Quantitative Information Extraction From Chinese Texts","display_name":"SCLert: A Span-Based Joint Model for Measurable Quantitative Information Extraction From Chinese Texts","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388207110","doi":"https://doi.org/10.1109/tce.2023.3327681"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3327681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3327681","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101568689","display_name":"Di Mo","orcid":"https://orcid.org/0000-0003-3745-8667"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Mo","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University, Guangzhou, China","Tianyong Hao, School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3745-8667","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Tianyong Hao, School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112174708","display_name":"Bangrui Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangrui Huang","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University, Guangzhou, China","Tianyong Hao, School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Tianyong Hao, School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457227","display_name":"Haitao Wang","orcid":"https://orcid.org/0000-0002-5297-9543"},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Wang","raw_affiliation_strings":["Sub-Institute of General Standardization, China National Institute of Standardization, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sub-Institute of General Standardization, China National Institute of Standardization, Beijing, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035901540","display_name":"Xinyu Cao","orcid":"https://orcid.org/0000-0002-4403-9762"},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Cao","raw_affiliation_strings":["Sub-Institute of General Standardization, China National Institute of Standardization, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sub-Institute of General Standardization, China National Institute of Standardization, Beijing, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113037070","display_name":"Keqin Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqin Gan","raw_affiliation_strings":["National Library of Standards, China National Institute of Standardization, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Standards, China National Institute of Standardization, Beijing, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113037071","display_name":"Jie Wei","orcid":"https://orcid.org/0009-0001-3894-0503"},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wei","raw_affiliation_strings":["Sub-Institute of General Standardization, China National Institute of Standardization, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sub-Institute of General Standardization, China National Institute of Standardization, Beijing, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088263100","display_name":"Heng Weng","orcid":"https://orcid.org/0000-0002-5203-8663"},"institutions":[{"id":"https://openalex.org/I117532281","display_name":"Guangzhou University of Chinese Medicine","ror":"https://ror.org/03qb7bg95","country_code":"CN","type":"education","lineage":["https://openalex.org/I117532281"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Weng","raw_affiliation_strings":["State Key Laboratory of Dampness, Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dampness, Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China","institution_ids":["https://openalex.org/I117532281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080646275","display_name":"Tianyong Hao","orcid":"https://orcid.org/0000-0002-9792-3949"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyong Hao","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","Tianyong Hao, School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9792-3949","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Tianyong Hao, School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.269,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83355562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"70","issue":"1","first_page":"3361","last_page":"3371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9958999752998352,"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":0.9958999752998352,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9891999959945679,"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":0.7861565947532654},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6390151977539062},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6180462837219238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44207894802093506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4416511356830597},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4204905927181244},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4189227819442749},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38225698471069336},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10371541976928711}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861565947532654},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6390151977539062},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6180462837219238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44207894802093506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4416511356830597},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4204905927181244},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4189227819442749},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38225698471069336},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10371541976928711},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3327681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3327681","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3224267913","display_name":null,"funder_award_id":"62372189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3815167050","display_name":null,"funder_award_id":"2021A1515220137","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8653384878","display_name":null,"funder_award_id":"2021A1515011339","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1940872118","https://openalex.org/W2027233318","https://openalex.org/W2104752900","https://openalex.org/W2134033474","https://openalex.org/W2159636537","https://openalex.org/W2292790679","https://openalex.org/W2462565033","https://openalex.org/W2566150155","https://openalex.org/W2569974113","https://openalex.org/W2599297528","https://openalex.org/W2804552794","https://openalex.org/W2808142148","https://openalex.org/W2887681009","https://openalex.org/W2890951307","https://openalex.org/W2896457183","https://openalex.org/W2933138175","https://openalex.org/W2962904552","https://openalex.org/W2964222246","https://openalex.org/W2965690110","https://openalex.org/W2970323499","https://openalex.org/W2970641574","https://openalex.org/W2978511610","https://openalex.org/W2992843255","https://openalex.org/W3034617555","https://openalex.org/W3045507108","https://openalex.org/W3052706300","https://openalex.org/W3095696617","https://openalex.org/W3135906755","https://openalex.org/W3174396451","https://openalex.org/W3176023514","https://openalex.org/W4240789209","https://openalex.org/W4294170691","https://openalex.org/W6603337214","https://openalex.org/W6611519286","https://openalex.org/W6640362995","https://openalex.org/W6682082992","https://openalex.org/W6752788575","https://openalex.org/W6758737940","https://openalex.org/W6768058859","https://openalex.org/W6777615688","https://openalex.org/W6784213505"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W1996130883","https://openalex.org/W4234772502","https://openalex.org/W2748574964","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W2963436428","https://openalex.org/W2888483922","https://openalex.org/W4400978025","https://openalex.org/W2918743509"],"abstract_inverted_index":{"Measurable":[0],"quantitative":[1,40,73,90,110,134],"information":[2,8,41,61,74,83,91,111,124],"is":[3],"a":[4,66,141,152],"fundamental":[5],"set":[6],"of":[7,13,38,88,125,132,176],"related":[9],"to":[10,44,94],"the":[11,36,86,122,138,187],"quantity":[12],"objects,":[14],"which":[15,76],"widely":[16],"exists":[17],"in":[18,42,184],"various":[19],"texts":[20],"including":[21],"medical":[22,161],"records,":[23],"national":[24],"standards":[25],"and":[26,47,81,113,127,151,180],"technical":[27],"reports.":[28],"In":[29],"recent":[30],"years,":[31],"some":[32],"researchers":[33],"have":[34,48],"recognized":[35],"importance":[37],"measurable":[39,60,72,89,109,133],"helping":[43],"analyze":[45],"healthcare":[46],"proposed":[49],"pipeline-based":[50],"approaches,":[51],"but":[52],"there":[53],"are":[54],"still":[55],"many":[56],"challenging":[57],"issues":[58],"with":[59,146,157],"extraction.":[62],"This":[63],"paper":[64],"proposes":[65],"span-based":[67,119],"joint":[68,104,168],"model":[69,106,139,169],"(SCLert)":[70],"for":[71,84],"extraction,":[75],"incorporates":[77],"Chinese":[78,148,159],"generic":[79],"features":[80],"lexicon":[82],"improving":[85],"effectiveness":[87],"recognition.":[92],"Compared":[93],"pipeline":[95],"extraction":[96,105,131],"methods":[97],"that":[98,166],"require":[99],"two":[100],"independent":[101],"models,":[102],"our":[103,167],"combines":[107],"both":[108],"recognition":[112,179],"association":[114,183],"within":[115],"one":[116],"model.":[117],"The":[118],"representation":[120],"enhances":[121],"boundary":[123],"entity":[126],"enables":[128],"more":[129],"accurate":[130],"information.":[135],"We":[136],"evaluated":[137],"on":[140,178,182,186],"Standard":[142],"Quantitative":[143,154],"Information":[144,155],"dataset":[145,156],"3106":[147],"text":[149],"sentences":[150],"Clinical":[153],"1359":[158],"electronic":[160],"records.":[162],"Experiment":[163],"results":[164],"show":[165],"outperforms":[170],"baseline":[171],"models":[172],"by":[173],"an":[174],"improvement":[175],"3.67%":[177],"6.61%":[181],"F1-score":[185],"standard":[188],"datasets.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
