{"id":"https://openalex.org/W4410357168","doi":"https://doi.org/10.1145/3672608.3707811","title":"Assessing Argument-based Natural Language Explanations in Medical Text","display_name":"Assessing Argument-based Natural Language Explanations in Medical Text","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410357168","doi":"https://doi.org/10.1145/3672608.3707811"},"language":"en","primary_location":{"id":"doi:10.1145/3672608.3707811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672608.3707811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05051047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056369590","display_name":"Benjamin Molinet","orcid":"https://orcid.org/0000-0002-8208-2139"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Benjamin Molinet","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d?Azur, Inria, CNRS, I3S, Sophia Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d?Azur, Inria, CNRS, I3S, Sophia Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049137879","display_name":"Elena Cabrio","orcid":"https://orcid.org/0000-0001-9374-7872"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elena Cabrio","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d?Azur, Inria, CNRS, I3S, Sophia Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d?Azur, Inria, CNRS, I3S, Sophia Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016281730","display_name":"Serena Villata","orcid":"https://orcid.org/0000-0003-3495-493X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Serena Villata","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d?Azur, Inria, CNRS, I3S, Sophia Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d?Azur, Inria, CNRS, I3S, Sophia Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056369590"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04690984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1007","last_page":"1008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9894999861717224,"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":0.9894999861717224,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9873999953269958,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9262999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.7253845930099487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011686563491821},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6154133677482605},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5899692177772522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4525909721851349},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.43478280305862427},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.39075666666030884},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.1370450258255005},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12469568848609924},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.10296520590782166}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7253845930099487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011686563491821},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6154133677482605},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5899692177772522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4525909721851349},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.43478280305862427},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.39075666666030884},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.1370450258255005},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12469568848609924},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.10296520590782166},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3672608.3707811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672608.3707811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05051047v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05051047","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"The 40th ACM/SIGAPP Symposium On Applied Computing (SAC 2025), Mar 2025, Catania, Sicily, Italy","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05051047v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05051047","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"The 40th ACM/SIGAPP Symposium On Applied Computing (SAC 2025), Mar 2025, Catania, Sicily, Italy","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2958089299","https://openalex.org/W2997759614","https://openalex.org/W3144635834","https://openalex.org/W3202627914","https://openalex.org/W4212942200","https://openalex.org/W4244330932"],"related_works":["https://openalex.org/W3008380943","https://openalex.org/W2115206405","https://openalex.org/W4387718383","https://openalex.org/W1528986568","https://openalex.org/W2500746363","https://openalex.org/W2062799661","https://openalex.org/W2347954438","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Natural":[0],"language":[1,67],"explanations":[2,26,40,68,108,152],"are":[3,27,53],"attracting":[4],"increasing":[5],"attention":[6],"in":[7,30,44,138],"the":[8,49,99,118,128,141],"eXplainable":[9],"AI":[10,137],"context":[11],"given":[12,155],"their":[13,151],"ability":[14],"to":[15,64,88,103,143,145,149,159],"elucidate":[16],"human":[17],"and":[18,36,92],"artificial":[19],"decision":[20],"making":[21],"processes.":[22],"These":[23],"kinds":[24],"of":[25,78,121,163],"particularly":[28],"relevant":[29],"sensitive":[31],"scenarios":[32],"like":[33],"medicine,":[34],"law":[35],"defence.":[37],"However,":[38],"these":[39],"may":[41],"be":[42],"constructed":[43],"different":[45],"ways,":[46],"depending":[47],"on":[48,117],"overall":[50],"purpose":[51],"they":[52],"employed":[54],"for.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"a":[61,79,95,132,154],"novel":[62],"approach":[63,130],"characterize":[65],"natural":[66],"from":[69,109],"an":[70,83,110],"argumentation":[71,101,111],"perspective.":[72],"The":[73,113],"proposed":[74,129],"architecture":[75],"is":[76,131],"composed":[77],"first":[80],"module":[81,97],"addressing":[82],"end-to-end":[84],"argument":[85,90],"mining":[86],"pipeline":[87],"identify":[89,104],"components":[91],"relations,":[93],"then,":[94],"second":[96],"analyzing":[98],"resulting":[100],"graphs":[102],"patterns":[105],"which":[106],"caracterize":[107],"viewpoint.":[112],"experimental":[114],"setting":[115],"relies":[116],"Casimedicos":[119],"dataset":[120],"clinical":[122,164],"cases.":[123],"Obtained":[124],"results":[125],"show":[126],"that":[127],"promising":[133],"solution":[134],"towards":[135],"applying":[136],"education":[139],"with":[140],"aim":[142],"demonstrate":[144],"medical":[146],"residents":[147],"how":[148],"improve":[150],"for":[153],"diagnosis":[156],"so":[157],"as":[158],"increase":[160],"patients'":[161],"understanding":[162],"deliberations.":[165]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
