{"id":"https://openalex.org/W4205765952","doi":"https://doi.org/10.1109/bibm52615.2021.9669386","title":"Dual Model Weighting Strategy and Data Augmentation in Biomedical Question Answering","display_name":"Dual Model Weighting Strategy and Data Augmentation in Biomedical Question Answering","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205765952","doi":"https://doi.org/10.1109/bibm52615.2021.9669386"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669386","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5007940049","display_name":"Yongping Du","orcid":"https://orcid.org/0000-0001-6867-2063"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongping Du","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603268","display_name":"Jingya Yan","orcid":"https://orcid.org/0000-0003-0373-1696"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingya Yan","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036942409","display_name":"Yiliang Zhao","orcid":"https://orcid.org/0000-0002-9556-0785"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiliang Zhao","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048356518","display_name":"Yuxuan Lu","orcid":"https://orcid.org/0000-0002-8520-0540"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Lu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082011622","display_name":"Xingnan Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingnan Jin","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1602 3606","issue":null,"first_page":"659","last_page":"662"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9747999906539917,"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/question-answering","display_name":"Question answering","score":0.7754371166229248},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6961469650268555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6909145712852478},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6804470419883728},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4266873598098755},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40158650279045105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38943976163864136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33531302213668823},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2502444386482239},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09310963749885559}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7754371166229248},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6961469650268555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6909145712852478},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6804470419883728},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4266873598098755},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40158650279045105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38943976163864136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33531302213668823},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2502444386482239},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09310963749885559},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669386","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1981208470","https://openalex.org/W2250539671","https://openalex.org/W2516196286","https://openalex.org/W2551396370","https://openalex.org/W2911489562","https://openalex.org/W2949615363","https://openalex.org/W2963339397","https://openalex.org/W2963748441","https://openalex.org/W3005193031","https://openalex.org/W3013838212","https://openalex.org/W3104486441","https://openalex.org/W4295253143","https://openalex.org/W4297979306","https://openalex.org/W6632455782","https://openalex.org/W6692878851","https://openalex.org/W6729654139","https://openalex.org/W6751097180"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2384605597","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Biomedical":[0],"Question":[1],"Answering":[2],"aims":[3],"to":[4,8,17,27,95,117,140],"extract":[5],"an":[6],"answer":[7,66],"the":[9,18,41,47,64,73,97,125,141],"given":[10],"question":[11,34],"from":[12,110],"a":[13,59],"biomedical":[14,69,85,107],"context.":[15],"Due":[16],"strong":[19],"professionalism":[20],"of":[21,43,75],"specific":[22,32],"domain,":[23,70],"it\u2019s":[24],"more":[25],"difficult":[26],"build":[28],"large-scale":[29],"datasets":[30,138],"for":[31,63],"domain":[33,86],"answering.":[35],"Existing":[36],"methods":[37],"are":[38],"limited":[39],"by":[40,113],"lack":[42],"training":[44],"data,":[45],"and":[46,81,103,136],"performance":[48,127],"is":[49,115],"not":[50],"as":[51,53],"good":[52],"in":[54,68,84],"open-domain":[55,78],"settings.":[56],"We":[57],"propose":[58],"model":[60,79,98,126],"weighting":[61],"strategy":[62],"final":[65],"prediction":[67],"which":[71],"combines":[72],"advantage":[74],"two":[76],"models,":[77],"QANet":[80],"BioBERT":[82],"pretrained":[83],"data.":[87],"Especially,":[88],"we":[89],"adopt":[90],"effective":[91],"data":[92],"augmentation":[93],"strategies":[94],"improve":[96],"performance,":[99],"including":[100],"round-trip":[101],"translation":[102],"summarization.":[104],"The":[105,121],"public":[106],"dataset":[108],"collected":[109],"PubMed":[111],"provided":[112],"BioASQ":[114,133],"used":[116],"evaluate":[118],"our":[119],"approach.":[120],"results":[122],"show":[123],"that":[124],"has":[128],"been":[129],"improved":[130],"significantly":[131],"on":[132],"6B,":[134],"7B":[135],"8B":[137],"compared":[139],"single":[142],"model.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
