{"id":"https://openalex.org/W4312711992","doi":"https://doi.org/10.1109/icpr56361.2022.9956656","title":"Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature","display_name":"Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312711992","doi":"https://doi.org/10.1109/icpr56361.2022.9956656"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956656","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://corescholar.libraries.wright.edu/cse/628","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051490157","display_name":"Amanuel Alambo","orcid":"https://orcid.org/0000-0002-3643-9053"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amanuel Alambo","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084532918","display_name":"Tanvi Banerjee","orcid":"https://orcid.org/0000-0002-9794-3755"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanvi Banerjee","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060617658","display_name":"Krishnaprasad Thirunarayan","orcid":"https://orcid.org/0000-0002-7041-6963"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnaprasad Thirunarayan","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021570308","display_name":"Michael L. Raymer","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Raymer","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0382,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78881527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"613","last_page":"620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9601898193359375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8475281000137329},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6480718851089478},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6061331033706665},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5718501806259155},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5317336916923523},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5110002756118774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4544832706451416},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.42330530285835266},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.38010212779045105}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9601898193359375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8475281000137329},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6480718851089478},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6061331033706665},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5718501806259155},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5317336916923523},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5110002756118774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544832706451416},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.42330530285835266},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.38010212779045105},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956656","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:corescholar.libraries.wright.edu:cse-1628","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/cse/628","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science and Engineering Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:corescholar.libraries.wright.edu:cse-1628","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/cse/628","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science and Engineering Faculty Publications","raw_type":"text"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W1503259811","https://openalex.org/W1522301498","https://openalex.org/W1964189668","https://openalex.org/W2016589492","https://openalex.org/W2101680936","https://openalex.org/W2110693578","https://openalex.org/W2150824314","https://openalex.org/W2157364932","https://openalex.org/W2159583324","https://openalex.org/W2160017075","https://openalex.org/W2169054943","https://openalex.org/W2169099542","https://openalex.org/W2239203031","https://openalex.org/W2332766554","https://openalex.org/W2346452181","https://openalex.org/W2404369708","https://openalex.org/W2467173223","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2777949341","https://openalex.org/W2786925157","https://openalex.org/W2799044970","https://openalex.org/W2911489562","https://openalex.org/W2915623326","https://openalex.org/W2936695845","https://openalex.org/W2947681066","https://openalex.org/W2953280096","https://openalex.org/W2953356739","https://openalex.org/W2962946054","https://openalex.org/W2962965405","https://openalex.org/W2963204221","https://openalex.org/W2963691697","https://openalex.org/W2963926728","https://openalex.org/W2964222246","https://openalex.org/W2970419734","https://openalex.org/W2971289520","https://openalex.org/W2981456979","https://openalex.org/W2981861606","https://openalex.org/W2996264288","https://openalex.org/W2997303394","https://openalex.org/W3007672467","https://openalex.org/W3015468748","https://openalex.org/W3027879771","https://openalex.org/W3034999214","https://openalex.org/W3035050380","https://openalex.org/W3035628162","https://openalex.org/W3086767710","https://openalex.org/W3091905774","https://openalex.org/W3099396524","https://openalex.org/W3099700870","https://openalex.org/W3100258764","https://openalex.org/W3106224367","https://openalex.org/W3106234277","https://openalex.org/W3111275393","https://openalex.org/W3133665323","https://openalex.org/W3135413417","https://openalex.org/W3141940864","https://openalex.org/W3153094109","https://openalex.org/W3153193605","https://openalex.org/W3156789018","https://openalex.org/W3169283738","https://openalex.org/W3170083118","https://openalex.org/W3175489610","https://openalex.org/W3196696529","https://openalex.org/W3201255524","https://openalex.org/W3211454967","https://openalex.org/W4206445734","https://openalex.org/W4213255380","https://openalex.org/W4287122359","https://openalex.org/W4287704453","https://openalex.org/W4287756637","https://openalex.org/W4288089799","https://openalex.org/W4293004632","https://openalex.org/W4385245566","https://openalex.org/W6630217047","https://openalex.org/W6631190155","https://openalex.org/W6683926665","https://openalex.org/W6684813226","https://openalex.org/W6690044659","https://openalex.org/W6713634263","https://openalex.org/W6737479944","https://openalex.org/W6739901393","https://openalex.org/W6748635695","https://openalex.org/W6751129451","https://openalex.org/W6761205521","https://openalex.org/W6769311223","https://openalex.org/W6769627184","https://openalex.org/W6770023510","https://openalex.org/W6771915120","https://openalex.org/W6774222543","https://openalex.org/W6776048684","https://openalex.org/W6777615688","https://openalex.org/W6779309129","https://openalex.org/W6779985061","https://openalex.org/W6781362849","https://openalex.org/W6781533629","https://openalex.org/W6782482366","https://openalex.org/W6783596713","https://openalex.org/W6784101632","https://openalex.org/W6791276102","https://openalex.org/W6794339417","https://openalex.org/W6801496601","https://openalex.org/W6803991540"],"related_works":["https://openalex.org/W4317547544","https://openalex.org/W4313395829","https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W2168409722","https://openalex.org/W2026505290","https://openalex.org/W2782437235","https://openalex.org/W1993715838","https://openalex.org/W2359088421","https://openalex.org/W2515501281"],"abstract_inverted_index":{"As":[0],"part":[1],"of":[2,6,16,35,110,115,161,185,194,212,231,260,267,275],"the":[3,13,32,108,127,166,209,216,224],"large":[4],"number":[5],"scientific":[7],"articles":[8],"being":[9],"published":[10],"every":[11],"year,":[12],"publication":[14],"rate":[15],"biomedical":[17,36,91,139,162,261,276],"literature":[18],"has":[19,24,134],"been":[20,25,50,136],"increasing.":[21],"Consequently,":[22],"there":[23],"considerable":[26],"effort":[27],"to":[28,63,76,126,130,218],"harness":[29],"and":[30,82,96,118,203,237,263],"summarize":[31],"massive":[33],"amount":[34],"research":[37],"articles.":[38,163],"While":[39],"transformer-based":[40,155,174,190],"encoder-decoder":[41,156,191],"models":[42,157,192,214,217],"in":[43,56,79,89,138,229],"a":[44,90,104,173,183,253,265,268],"vanilla":[45],"source":[46,80,226],"document-to-summary":[47,227],"setting":[48,92,228],"have":[49],"extensively":[51],"studied":[52,137],"for":[53,152,158,199,257,272],"abstractive":[54,132,159,258,273],"summarization":[55,133,141,160,259,274],"different":[57],"domains,":[58],"their":[59,97],"major":[60],"limitations":[61],"continue":[62],"be":[64,101],"entity":[65],"hallucination":[66],"(a":[67],"phenomenon":[68],"where":[69,93],"generated":[70],"summaries":[71],"constitute":[72,107],"entities":[73,95,117,129],"not":[74,135],"related":[75],"or":[77],"present":[78],"article(s))":[81],"factual":[83,233],"inconsistency.":[84],"This":[85],"problem":[86],"is":[87,172,249],"exacerbated":[88],"named":[94,116,128],"semantics":[98],"(which":[99],"can":[100],"captured":[102],"through":[103],"knowledge":[105,123,207],"base)":[106],"essence":[109],"an":[111,148],"article.":[112],"The":[113,246],"use":[114],"facts":[119],"mined":[120],"from":[121],"background":[122],"bases":[124],"pertaining":[125],"guide":[131],"article":[140],"literature.":[142,277],"In":[143],"this":[144],"paper,":[145],"we":[146,255],"propose":[147],"entity-driven":[149],"fact-aware":[150],"framework":[151],"training":[153],"end-to-end":[154],"We":[164,181],"call":[165],"proposed":[167,247],"approach,":[168],"whose":[169],"building":[170],"block":[171],"model,":[175],"EFAS,":[176],"Entity-driven":[177],"Fact-aware":[178],"Abstractive":[179],"Summarization.":[180],"conduct":[182],"set":[184],"experiments":[186],"using":[187],"five":[188],"state-of-the-art":[189],"(two":[193],"which":[195],"are":[196],"specifically":[197],"designed":[198],"long":[200],"document":[201],"summarization)":[202],"demonstrate":[204],"that":[205],"injecting":[206],"into":[208],"training/inference":[210],"phase":[211],"these":[213],"enables":[215],"achieve":[219],"significantly":[220],"better":[221],"performance":[222],"than":[223],"standard":[225],"terms":[230],"entity-level":[232],"accuracy,":[234],"N-gram":[235],"novelty,":[236],"semantic":[238],"equivalence":[239],"while":[240],"performing":[241],"comparably":[242],"on":[243,251],"ROUGE":[244],"metrics.":[245],"approach":[248],"evaluated":[250],"ICD-11-Summ-1000,":[252],"dataset":[254,271],"build":[256],"literature,":[262],"PubMed-50k,":[264],"segment":[266],"large-scale":[269],"benchmark":[270]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}