{"id":"https://openalex.org/W4280616047","doi":"https://doi.org/10.1109/tcbb.2022.3173447","title":"Biomedical Argument Mining Based on Sequential Multi-Task Learning","display_name":"Biomedical Argument Mining Based on Sequential Multi-Task Learning","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4280616047","doi":"https://doi.org/10.1109/tcbb.2022.3173447","pmid":"https://pubmed.ncbi.nlm.nih.gov/35576420"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2022.3173447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3173447","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101938449","display_name":"Jiasheng Si","orcid":"https://orcid.org/0000-0002-6870-5678"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiasheng Si","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6870-5678","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666828","display_name":"Liu Sun","orcid":"https://orcid.org/0000-0002-9152-9289"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Sun","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9152-9289","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007145568","display_name":"Deyu Zhou","orcid":"https://orcid.org/0000-0001-7702-9387"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7702-9387","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010529136","display_name":"Jie Ren","orcid":"https://orcid.org/0000-0001-5931-5881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Ren","raw_affiliation_strings":["AVIC Chengdu Aircraft Design and Research Institute, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AVIC Chengdu Aircraft Design and Research Institute, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412815","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-7553-6916"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Nanjing Origin Information Technology Company, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Origin Information Technology Company, Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101938449"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.2486,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82684662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"864","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976999759674072,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9941999912261963,"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/argument","display_name":"Argument (complex analysis)","score":0.7825042605400085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020016312599182},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6009629964828491},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5660574436187744},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.564836323261261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5523326396942139},{"id":"https://openalex.org/keywords/argumentative","display_name":"Argumentative","score":0.5349752902984619},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5058948397636414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48775750398635864},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4743072986602783},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45961517095565796},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4405903220176697},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.42605504393577576},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3333158493041992},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29473093152046204},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29454702138900757},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.11153790354728699},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07457748055458069}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7825042605400085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020016312599182},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6009629964828491},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5660574436187744},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.564836323261261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5523326396942139},{"id":"https://openalex.org/C2781306805","wikidata":"https://www.wikidata.org/wiki/Q4789761","display_name":"Argumentative","level":2,"score":0.5349752902984619},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5058948397636414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48775750398635864},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4743072986602783},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45961517095565796},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4405903220176697},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.42605504393577576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3333158493041992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29473093152046204},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29454702138900757},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.11153790354728699},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07457748055458069},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000066491","descriptor_name":"Clinical Decision-Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066491","descriptor_name":"Clinical Decision-Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066491","descriptor_name":"Clinical Decision-Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2022.3173447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3173447","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:35576420","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35576420","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3537818187","display_name":null,"funder_award_id":"62176053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W28892961","https://openalex.org/W1977155386","https://openalex.org/W2068698008","https://openalex.org/W2140721185","https://openalex.org/W2250539671","https://openalex.org/W2251661596","https://openalex.org/W2343649478","https://openalex.org/W2471324264","https://openalex.org/W2609722168","https://openalex.org/W2615337847","https://openalex.org/W2885925344","https://openalex.org/W2896457183","https://openalex.org/W2899033701","https://openalex.org/W2899315526","https://openalex.org/W2911489562","https://openalex.org/W2914767245","https://openalex.org/W2962946486","https://openalex.org/W2963591087","https://openalex.org/W2965892119","https://openalex.org/W2970748008","https://openalex.org/W2970771982","https://openalex.org/W3116518933","https://openalex.org/W3116756642","https://openalex.org/W3137554059","https://openalex.org/W4376320700","https://openalex.org/W6679025299","https://openalex.org/W6680851639","https://openalex.org/W6691536262","https://openalex.org/W6691784016","https://openalex.org/W6693701292","https://openalex.org/W6712824993","https://openalex.org/W6726873649","https://openalex.org/W6729448088","https://openalex.org/W6739901393","https://openalex.org/W6754705642","https://openalex.org/W6780302694"],"related_works":["https://openalex.org/W2976405147","https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W69297589","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W4289354592","https://openalex.org/W2430210575","https://openalex.org/W2165069859","https://openalex.org/W2099112646"],"abstract_inverted_index":{"Biomedical":[0],"argument":[1,42,48,51,91,102,125,134,151,173],"mining":[2,43],"aims":[3],"to":[4,17,128,146,157,166],"automatically":[5],"identify":[6],"and":[7,54,71,137,186],"extract":[8],"the":[9,67,101,148,171,187,192,196],"argumentative":[10],"structure":[11],"in":[12,112],"biomedical":[13,41,90,124],"text.":[14],"It":[15],"helps":[16],"determine":[18],"not":[19],"only":[20],"what":[21],"positions":[22],"people":[23],"adopt,":[24],"but":[25],"also":[26],"why":[27],"they":[28],"hold":[29],"such":[30],"opinions,":[31],"which":[32,85],"provides":[33],"valuable":[34,109],"insights":[35],"into":[36],"medical":[37],"decision":[38],"making.":[39],"Generally,":[40],"consists":[44],"of":[45,150],"three":[46],"subtasks:":[47],"component":[49,52,103,135,152,174],"identification,":[50,139],"classification":[53,136],"relation":[55,94,138,158,169],"identification.":[56,159],"Current":[57],"approaches":[58],"employ":[59],"conventional":[60],"multi-task":[61,118],"learning":[62,119],"framework":[63],"for":[64,88,123],"jointly":[65],"addressing":[66],"latter":[68],"two":[69,81],"subtasks,":[70],"achieve":[72],"some":[73],"success.":[74],"However,":[75],"explicit":[76,130],"sequential":[77,117,131],"dependency":[78,132,168],"between":[79,133],"these":[80],"subtasks":[82],"is":[83,86,96,121,144,155,164],"ignored,":[84],"crucial":[87],"accurate":[89],"mining.":[92,126],"Moreover,":[93],"identification":[95],"conducted":[97],"solely":[98],"based":[99],"on":[100,182],"pair":[104],"without":[105],"considering":[106],"its":[107],"potentially":[108],"context.":[110],"Therefore,":[111],"this":[113],"paper,":[114],"a":[115,183],"novel":[116],"approach":[120],"proposed":[122,177,193],"Specifically,":[127],"model":[129,167],"an":[140],"information":[141,149],"transfer":[142],"strategy":[143],"employed":[145,165],"capture":[147],"type":[153],"that":[154,191],"transferred":[156],"Furthermore,":[160],"graph":[161],"convolutional":[162],"network":[163],"among":[170],"related":[172],"pairs.":[175],"The":[176],"method":[178,194],"has":[179],"been":[180],"evaluated":[181],"benchmark":[184],"dataset":[185],"experimental":[188],"results":[189],"show":[190],"outperforms":[195],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}