{"id":"https://openalex.org/W2903314293","doi":"https://doi.org/10.1109/access.2018.2883637","title":"Multi-Scale Attentive Interaction Networks for Chinese Medical Question Answer Selection","display_name":"Multi-Scale Attentive Interaction Networks for Chinese Medical Question Answer Selection","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2903314293","doi":"https://doi.org/10.1109/access.2018.2883637","mag":"2903314293"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2883637","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883637","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2883637","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100394046","display_name":"Sheng Zhang","orcid":"https://orcid.org/0000-0003-1732-0011"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327595","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-2954-2076"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055715993","display_name":"Lixiang Guo","orcid":"https://orcid.org/0000-0003-0276-5077"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiang Guo","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417156","display_name":"Shanshan Liu","orcid":"https://orcid.org/0009-0009-6952-0817"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Liu","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100394046"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0309,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.90158884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"74061","last_page":"74071"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9940999746322632,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8443622589111328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.619917631149292},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5694152116775513},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5674003958702087},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.51120924949646},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5018551349639893},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4924088716506958},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.48072460293769836},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4697684943675995},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4415867030620575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39477866888046265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19591808319091797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8443622589111328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.619917631149292},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5694152116775513},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5674003958702087},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.51120924949646},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5018551349639893},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4924088716506958},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48072460293769836},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4697684943675995},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4415867030620575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39477866888046265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19591808319091797},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2883637","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883637","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:653d2813e83142db84670b2bb19a9b00","is_oa":true,"landing_page_url":"https://doaj.org/article/653d2813e83142db84670b2bb19a9b00","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 74061-74071 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2883637","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883637","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G4409688979","display_name":null,"funder_award_id":"61105124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5315980042","display_name":null,"funder_award_id":"71331008","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W316330431","https://openalex.org/W1514535095","https://openalex.org/W1544827683","https://openalex.org/W1843891098","https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2120615054","https://openalex.org/W2133564696","https://openalex.org/W2146502635","https://openalex.org/W2153579005","https://openalex.org/W2155482025","https://openalex.org/W2157331557","https://openalex.org/W2173361515","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2264105282","https://openalex.org/W2291880741","https://openalex.org/W2404901863","https://openalex.org/W2517782820","https://openalex.org/W2551396370","https://openalex.org/W2556468274","https://openalex.org/W2573462507","https://openalex.org/W2592929672","https://openalex.org/W2593833795","https://openalex.org/W2604183907","https://openalex.org/W2740205663","https://openalex.org/W2743087755","https://openalex.org/W2753613501","https://openalex.org/W2766447205","https://openalex.org/W2884370146","https://openalex.org/W2949300694","https://openalex.org/W2949335953","https://openalex.org/W2949615363","https://openalex.org/W2950635152","https://openalex.org/W2951815760","https://openalex.org/W2951941802","https://openalex.org/W2962685628","https://openalex.org/W2962965405","https://openalex.org/W2964059756","https://openalex.org/W2964084166","https://openalex.org/W2964154091","https://openalex.org/W4252076394","https://openalex.org/W4294170691","https://openalex.org/W4300909090","https://openalex.org/W6611156747","https://openalex.org/W6630875275","https://openalex.org/W6632455782","https://openalex.org/W6681435938","https://openalex.org/W6682691769","https://openalex.org/W6696852441","https://openalex.org/W6736071584"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4256502920","https://openalex.org/W4382701072"],"abstract_inverted_index":{"The":[0,27,100],"past":[1],"few":[2,43],"years":[3],"have":[4,13],"witnessed":[5],"a":[6,42,71,149],"trend":[7],"that":[8,157],"the":[9,21,61,98,111,135,161],"deep":[10,106,112],"learning":[11],"techniques":[12],"been":[14],"increasingly":[15],"applied":[16],"in":[17],"healthcare":[18],"due":[19],"to":[20,96],"explosive":[22],"growth":[23],"of":[24,63,74,82,103,115,121],"big":[25],"data.":[26],"online":[28],"medical":[29,38,65,116],"community,":[30],"where":[31],"users":[32],"can":[33],"ask":[34],"qualified":[35],"doctors":[36],"about":[37],"questions":[39,138],"with":[40,165],"just":[41],"keystrokes":[44],"and":[45,49,78,85,130,139,147],"mouse":[46],"clicks":[47],"anytime":[48],"anywhere,":[50],"has":[51],"become":[52],"quite":[53],"popular":[54],"recently.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,145],"investigate":[60],"problem":[62],"Chinese":[64],"question":[66,76],"answer":[67],"selection,":[68],"which":[69,109,125,133],"is":[70],"crucial":[72],"subtask":[73],"automatic":[75],"answering":[77],"fairly":[79],"challenging":[80],"because":[81],"its":[83],"language":[84],"domain":[86],"characteristics.":[87],"We":[88],"introduce":[89],"an":[90],"end-to-end":[91],"multiscale":[92],"interactive":[93],"networks":[94],"framework":[95,101],"address":[97],"issue.":[99],"consists":[102],"several":[104],"multi-scale":[105],"neural":[107],"layers":[108],"extract":[110],"semantic":[113],"information":[114],"text":[117],"from":[118],"different":[119],"levels":[120],"granularity,":[122],"shortcut":[123],"connections":[124],"prevent":[126],"network":[127],"degradation":[128],"problem,":[129],"attentive":[131],"interaction":[132],"mines":[134],"correlation":[136],"between":[137],"answers.":[140],"To":[141],"evaluate":[142],"our":[143,158],"framework,":[144],"update":[146],"expand":[148],"dataset":[150],"called":[151],"cMedQA":[152],"v2.0.":[153],"Experimental":[154],"results":[155],"demonstrate":[156],"model":[159],"outperforms":[160],"existing":[162],"state-ofthe-art":[163],"models":[164],"noticeable":[166],"margins.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}