{"id":"https://openalex.org/W1988462999","doi":"https://doi.org/10.1117/12.2007336","title":"Combining discriminative SVM models for the improved recognition of investigator names in medical articles","display_name":"Combining discriminative SVM models for the improved recognition of investigator names in medical articles","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W1988462999","doi":"https://doi.org/10.1117/12.2007336","mag":"1988462999"},"language":"en","primary_location":{"id":"doi:10.1117/12.2007336","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007336","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-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/A5100404552","display_name":"Xiaoli Zhang","orcid":"https://orcid.org/0000-0001-8837-8558"},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoli Zhang","raw_affiliation_strings":["National Library of Medicine (United States)","National Library of Medicine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Medicine (United States)","institution_ids":["https://openalex.org/I2800548410"]},{"raw_affiliation_string":"National Library of Medicine, United States","institution_ids":["https://openalex.org/I2800548410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027451971","display_name":"Jie Zou","orcid":"https://orcid.org/0000-0003-2303-3772"},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Zou","raw_affiliation_strings":["National Library of Medicine (United States)","National Library of Medicine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Medicine (United States)","institution_ids":["https://openalex.org/I2800548410"]},{"raw_affiliation_string":"National Library of Medicine, United States","institution_ids":["https://openalex.org/I2800548410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509629","display_name":"Daniel Le","orcid":"https://orcid.org/0000-0002-0220-6366"},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel X. Le","raw_affiliation_strings":["National Library of Medicine (United States)","National Library of Medicine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Medicine (United States)","institution_ids":["https://openalex.org/I2800548410"]},{"raw_affiliation_string":"National Library of Medicine, United States","institution_ids":["https://openalex.org/I2800548410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103701816","display_name":"George R. Thoma","orcid":null},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George R. Thoma","raw_affiliation_strings":["National Library of Medicine (United States)","National Library of Medicine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Medicine (United States)","institution_ids":["https://openalex.org/I2800548410"]},{"raw_affiliation_string":"National Library of Medicine, United States","institution_ids":["https://openalex.org/I2800548410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800548410"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05867906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8658","issue":null,"first_page":"865815","last_page":"865815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9995999932289124,"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":0.9983999729156494,"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":0.998199999332428,"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/support-vector-machine","display_name":"Support vector machine","score":0.8743810653686523},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7549896240234375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488566637039185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858538150787354},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5203635096549988},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4921421408653259},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49201270937919617},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4909522831439972},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48259437084198},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.43078237771987915},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4241056740283966},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07993218302726746},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07225173711776733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06305965781211853}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8743810653686523},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7549896240234375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488566637039185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858538150787354},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5203635096549988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4921421408653259},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49201270937919617},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4909522831439972},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48259437084198},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.43078237771987915},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4241056740283966},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07993218302726746},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07225173711776733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06305965781211853},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2007336","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007336","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320314788","display_name":"Lister Hill National Center for Biomedical Communications","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W163605501","https://openalex.org/W197270748","https://openalex.org/W1489949474","https://openalex.org/W1520377376","https://openalex.org/W1533057952","https://openalex.org/W1563088657","https://openalex.org/W1568620938","https://openalex.org/W1983073929","https://openalex.org/W2006439165","https://openalex.org/W2020278455","https://openalex.org/W2030684440","https://openalex.org/W2031248101","https://openalex.org/W2047782770","https://openalex.org/W2064199746","https://openalex.org/W2072167633","https://openalex.org/W2114361266","https://openalex.org/W2119821739","https://openalex.org/W2139212933","https://openalex.org/W2141099517","https://openalex.org/W2144578941","https://openalex.org/W2148540243","https://openalex.org/W2148603752","https://openalex.org/W2149430911","https://openalex.org/W2149684865","https://openalex.org/W2152540201","https://openalex.org/W2153635508","https://openalex.org/W2155874911","https://openalex.org/W2156909104","https://openalex.org/W2157791002","https://openalex.org/W2398591267","https://openalex.org/W2429914308"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2358294942","https://openalex.org/W4367460280","https://openalex.org/W4206165639","https://openalex.org/W2050712820"],"abstract_inverted_index":{"Investigators":[0],"are":[1,4,27],"people":[2],"who":[3],"listed":[5],"as":[6,14,79,140],"members":[7],"of":[8,42,60,85,162,168],"corporate":[9],"organizations":[10],"but":[11],"not":[12],"entered":[13],"authors":[15],"in":[16,23,32,37,51],"an":[17,107],"article.":[18],"Beginning":[19],"with":[20,144],"journals":[21],"published":[22],"2008,":[24],"investigator":[25,43,163],"names":[26,44,84],"required":[28],"to":[29,48,74,124],"be":[30,125],"included":[31],"a":[33,141],"new":[34],"bibliographic":[35],"field":[36],"MEDLINE":[38],"citations.":[39],"Automatic":[40],"extraction":[41],"is":[45,138],"necessary":[46],"due":[47],"the":[49,57,80,98,122,130,136,149,152,159,169],"increase":[50],"collaborative":[52],"biomedical":[53],"research":[54],"and":[55,71,82,100,110,114],"consequently":[56],"large":[58],"number":[59],"such":[61,78],"names.":[62],"We":[63,104],"implemented":[64],"two":[65,131],"discriminative":[66],"SVM":[67,70,113,116,137,171],"models,":[68],"i.e.,":[69],"structural":[72,115,153],"SVM,":[73],"identify":[75],"named":[76],"entities":[77],"first":[81],"last":[83],"investigators":[86],"from":[87,151],"online":[88],"medical":[89],"journal":[90],"articles.":[91],"Both":[92],"approaches":[93],"achieve":[94],"good":[95],"performance":[96,157],"at":[97],"word":[99],"name":[101,164],"chunk":[102],"levels.":[103],"further":[105],"conducted":[106],"error":[108],"analysis":[109],"found":[111],"that":[112,167],"can":[117],"offer":[118],"complementary":[119],"information":[120],"about":[121],"patterns":[123],"classified.":[126],"Hence,":[127],"we":[128],"combined":[129],"independently":[132],"trained":[133],"classifiers":[134],"where":[135],"chosen":[139],"base":[142],"learner":[143],"its":[145],"outputs":[146],"enhanced":[147],"by":[148],"predictions":[150],"SVM.":[154],"The":[155],"overall":[156],"especially":[158],"recall":[160],"rate":[161],"retrieval":[165],"exceeds":[166],"standalone":[170],"model.":[172]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}