{"id":"https://openalex.org/W7130730337","doi":"https://doi.org/10.48550/arxiv.2602.17513","title":"Bridging the Domain Divide: Supervised vs. Zero-Shot Clinical Section Segmentation from MIMIC-III to Obstetrics","display_name":"Bridging the Domain Divide: Supervised vs. Zero-Shot Clinical Section Segmentation from MIMIC-III to Obstetrics","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130730337","doi":"https://doi.org/10.48550/arxiv.2602.17513"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.17513","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093759138","display_name":"Baris Karacan","orcid":"https://orcid.org/0009-0001-7091-7063"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Karacan, Baris","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055258367","display_name":"Barbara Di Eugenio","orcid":"https://orcid.org/0000-0003-1706-2577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Eugenio, Barbara","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126496516","display_name":"Patrick Thornton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thornton, Patrick","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093759138"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6456000208854675,"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":0.6456000208854675,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.2248000055551529,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.022600000724196434,"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/segmentation","display_name":"Segmentation","score":0.7785000205039978},{"id":"https://openalex.org/keywords/section","display_name":"Section (typography)","score":0.597000002861023},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5877000093460083},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4462999999523163},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4106000065803528},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.35679998993873596}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7785000205039978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641700029373169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194999814033508},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.597000002861023},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5877000093460083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4666999876499176},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4462999999523163},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43779999017715454},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2856000065803528},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.27410000562667847}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.17513","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.17513","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17513","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.17513","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Clinical":[0],"free-text":[1],"notes":[2,47],"contain":[3],"vital":[4],"patient":[5],"information.":[6],"They":[7],"are":[8,67,139,170],"structured":[9],"into":[10],"labelled":[11],"sections;":[12],"recognizing":[13],"these":[14],"sections":[15],"has":[16],"been":[17],"shown":[18],"to":[19,49],"support":[20],"clinical":[21,32,149],"decision-making":[22],"and":[23,86,151],"downstream":[24],"NLP":[25,162],"tasks.":[26],"In":[27,127],"this":[28],"paper,":[29],"we":[30,40,70,94],"advance":[31],"section":[33,77,105,137],"segmentation":[34,65,78,106,154],"through":[35],"three":[36],"key":[37],"contributions.":[38],"First,":[39],"curate":[41],"a":[42,80,156],"new":[43,89],"de-identified,":[44],"section-labeled":[45],"obstetrics":[46,90],"dataset,":[48],"supplement":[50],"the":[51,88,96,144],"medical":[52,104],"domains":[53],"covered":[54],"in":[55],"public":[56],"corpora":[57],"such":[58],"as":[59,155,166,168],"MIMIC-III,":[60],"on":[61,79,87],"which":[62],"most":[63],"existing":[64],"approaches":[66],"trained.":[68],"Second,":[69],"systematically":[71],"evaluate":[72],"transformer-based":[73],"supervised":[74,101,117],"models":[75,102,118,130],"for":[76,103,159],"curated":[81],"subset":[82],"of":[83,100,146],"MIMIC-III":[84],"(in-domain),":[85],"dataset":[91],"(out-of-domain).":[92],"Third,":[93],"conduct":[95],"first":[97],"head-to-head":[98],"comparison":[99],"with":[107],"zero-shot":[108,129,153],"large":[109],"language":[110],"models.":[111],"Our":[112],"results":[113],"show":[114],"that":[115],"while":[116],"perform":[119],"strongly":[120],"in-domain,":[121],"their":[122],"performance":[123],"drops":[124],"substantially":[125],"out-of-domain.":[126],"contrast,":[128],"demonstrate":[131],"robust":[132],"out-of-domain":[133],"adaptability":[134],"once":[135],"hallucinated":[136],"headers":[138],"corrected.":[140],"These":[141],"findings":[142],"underscore":[143],"importance":[145],"developing":[147],"domain-specific":[148],"resources":[150],"highlight":[152],"promising":[157],"direction":[158],"applying":[160],"healthcare":[161],"beyond":[163],"well-studied":[164],"corpora,":[165],"long":[167],"hallucinations":[169],"appropriately":[171],"managed.":[172]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-21T00:00:00"}