{"id":"https://openalex.org/W7143973502","doi":"https://doi.org/10.20736/0002001285","title":"NAISTSOCRR at the NTCIR-17 MedNLP-SC Radiology Report Subtask","display_name":"NAISTSOCRR at the NTCIR-17 MedNLP-SC Radiology Report Subtask","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W7143973502","doi":"https://doi.org/10.20736/0002001285"},"language":"en","primary_location":{"id":"pmh:oai:irdb.nii.ac.jp:01146:0006489561","is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/2000666","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NTCIR-17 Conference","raw_type":"conference paper"},"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://naist.repo.nii.ac.jp/records/2000666","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5131013241","display_name":"Takuya Fukushima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takuya Fukushima","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047400029","display_name":"Yuka Otsuki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuka Otsuki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005540314","display_name":"Shuntaro Yada","orcid":"https://orcid.org/0000-0002-6209-1054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuntaro Yada","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046718849","display_name":"Shoko Wakamiya","orcid":"https://orcid.org/0000-0002-9371-1340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoko Wakamiya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5131201579","display_name":"Eiji Aramaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eiji Aramaki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.39879998564720154,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.39879998564720154,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11894","display_name":"Radiology practices and education","score":0.23090000450611115,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.14159999787807465,"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/task","display_name":"Task (project management)","score":0.5185999870300293},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4196999967098236},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.36820000410079956},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.30390000343322754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626999735832214},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.553600013256073},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4526999890804291},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4115000069141388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4034000039100647},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.2703000009059906}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:irdb.nii.ac.jp:01146:0006489561","is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/2000666","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NTCIR-17 Conference","raw_type":"conference paper"},{"id":"pmh:oai:irdb.nii.ac.jp:03100:0005993259","is_oa":true,"landing_page_url":"https://repository.nii.ac.jp/records/2001285","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01146:0006489561","is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/2000666","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NTCIR-17 Conference","raw_type":"conference paper"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8680431842803955,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,80],"paper":[1],"describes":[2],"how":[3],"we":[4],"tackled":[5],"the":[6,77,83,89],"Medical":[7],"Natural":[8],"Language":[9],"Processing":[10],"for":[11,59,63,68],"Radiology":[12],"Report":[13],"TNM":[14],"staging":[15],"(RR-TNM)":[16],"Subtask":[17,24],"as":[18],"participants":[19],"of":[20,74,91],"NTCIR17.":[21],"The":[22],"RR-TNM":[23],"is":[25],"a":[26,49],"MedNLP-SC":[27],"original":[28],"task":[29],"to":[30],"classify":[31],"radiology":[32],"reports":[33],"under":[34],"multiple":[35],"criteria.":[36],"We":[37],"introduced":[38],"three":[39],"different":[40],"methods":[41],"based":[42],"on":[43,76],"pre-trained":[44],"language":[45],"models":[46],"(PLMs),":[47],"including":[48],"medical-specific":[50],"model.":[51],"Notably,":[52],"our":[53,92],"combination":[54],"approach,":[55],"utilizing":[56],"JMedRoBERTa":[57],"(manbyo-wordpiece)":[58],"label":[60,64,69],"T,":[61],"Tohoku-BERT-v3":[62],"N,":[65],"and":[66],"UTH-BERT":[67],"M,":[70],"achieved":[71],"an":[72],"accuracy":[73],"0.3704":[75],"test":[78],"data.":[79],"performance":[81],"was":[82],"highest":[84],"among":[85],"all":[86],"participants,":[87],"emphasizing":[88],"effectiveness":[90],"strategy.":[93]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-01T00:00:00"}