{"id":"https://openalex.org/W3037166189","doi":"https://doi.org/10.3233/faia200334","title":"Transformer-Based Argument Mining for Healthcare Applications","display_name":"Transformer-Based Argument Mining for Healthcare Applications","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037166189","doi":"https://doi.org/10.3233/faia200334","mag":"3037166189"},"language":"en","primary_location":{"id":"doi:10.3233/faia200334","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200334","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia200334","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040582750","display_name":"Tobias Mayer","orcid":"https://orcid.org/0000-0002-4935-4710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mayer Tobias","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049137879","display_name":"Elena Cabrio","orcid":"https://orcid.org/0000-0001-9374-7872"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cabrio Elena","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Villata Serena","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Villata Serena","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.724,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.97650716,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983000159263611,"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/T10260","display_name":"Software Engineering Research","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/argument","display_name":"Argument (complex analysis)","score":0.6911404132843018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6464948654174805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5428836345672607},{"id":"https://openalex.org/keywords/argumentative","display_name":"Argumentative","score":0.4999427795410156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48438388109207153},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4258374571800232},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3908829092979431},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3790876567363739},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25699058175086975},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.1279010772705078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10478067398071289}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.6911404132843018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464948654174805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428836345672607},{"id":"https://openalex.org/C2781306805","wikidata":"https://www.wikidata.org/wiki/Q4789761","display_name":"Argumentative","level":2,"score":0.4999427795410156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48438388109207153},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4258374571800232},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3908829092979431},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3790876567363739},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25699058175086975},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1279010772705078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10478067398071289},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200334","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200334","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200334","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200334","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G2113015678","display_name":"3IA C\u00f4te d'Azur","funder_award_id":"ANR-19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2689869783","display_name":"Idex UCA JEDI","funder_award_id":"ANR-15-IDEX-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W28892961","https://openalex.org/W1618531155","https://openalex.org/W2066288042","https://openalex.org/W2068698008","https://openalex.org/W2120587524","https://openalex.org/W2221129296","https://openalex.org/W2250539671","https://openalex.org/W2327805699","https://openalex.org/W2399624726","https://openalex.org/W2471324264","https://openalex.org/W2516255829","https://openalex.org/W2609722168","https://openalex.org/W2615337847","https://openalex.org/W2842153692","https://openalex.org/W2880875857","https://openalex.org/W2885925344","https://openalex.org/W2890071848","https://openalex.org/W2899315526","https://openalex.org/W2924606678","https://openalex.org/W2962685689","https://openalex.org/W2962739339","https://openalex.org/W2963159690","https://openalex.org/W2963341956","https://openalex.org/W2963667932","https://openalex.org/W2964116313","https://openalex.org/W2965373594","https://openalex.org/W2965892119","https://openalex.org/W3103296573"],"related_works":["https://openalex.org/W2965892119","https://openalex.org/W3189036019","https://openalex.org/W3123017387","https://openalex.org/W2914617016","https://openalex.org/W3094046600","https://openalex.org/W2971866894","https://openalex.org/W4226218582","https://openalex.org/W2995714616","https://openalex.org/W2901714711","https://openalex.org/W2976405147"],"abstract_inverted_index":{"Argument(ation)":[0],"Mining":[1],"(AM)":[2],"typically":[3],"aims":[4],"at":[5,25],"identifying":[6],"argumentative":[7],"components":[8,90,115],"in":[9,20,28,140],"text":[10],"and":[11,91,118,120,149,151,161],"predicting":[12,121],"the":[13,21,34,40,45,62,80,122],"relations":[14,94],"among":[15],"them.":[16],"Evidence-based":[17],"decision":[18],"making":[19],"health-care":[22],"domain":[23],"targets":[24],"supporting":[26],"clinicians":[27],"their":[29],"deliberation":[30],"process":[31],"to":[32,61,84],"establish":[33],"best":[35],"course":[36],"of":[37,48,51,74,87,156],"action":[38],"for":[39,111,158,163],"case":[41],"under":[42],"evaluation.":[43],"Although":[44],"reasoning":[46],"stage":[47],"this":[49],"kind":[50],"frameworks":[52],"received":[53],"considerable":[54],"attention,":[55],"little":[56],"effort":[57],"has":[58],"been":[59],"devoted":[60],"mining":[63,109],"stage.":[64],"We":[65,104,134],"extended":[66],"an":[67],"existing":[68],"dataset":[69,86],"by":[70],"annotating":[71],"500":[72],"abstracts":[73],"Randomized":[75],"Controlled":[76],"Trials":[77],"(RCT)":[78],"from":[79],"MEDLINE":[81],"database,":[82],"leading":[83],"a":[85,106,153],"4198":[88],"argument":[89,93,108,114,132],"2601":[92],"on":[95],"different":[96,143],"diseases":[97],"(i.e.,":[98,146],"neoplasm,":[99],"glau-coma,":[100],"hepatitis,":[101],"diabetes,":[102],"hypertension).":[103],"propose":[105],"complete":[107],"pipeline":[110],"RCTs,":[112],"classifying":[113],"as":[116],"evidence":[117],"claims,":[119],"relation,":[123],"i.e.,":[124],"attack":[125],"or":[126],"support":[127],",":[128,166],"holding":[129],"between":[130],"those":[131],"components.":[133],"experiment":[135],"with":[136,142],"deep":[137],"bidirectional":[138],"transformers":[139],"combination":[141],"neural":[144],"architectures":[145],"LSTM,":[147],"GRU":[148],"CRF)":[150],"obtain":[152],"macro":[154],"F1-score":[155],".87":[157],"component":[159],"detection":[160],".68":[162],"relation":[164],"prediction":[165],"outperforming":[167],"current":[168],"state-of-the-art":[169],"end-to-end":[170],"AM":[171],"systems.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2020-07-02T00:00:00"}
