{"id":"https://openalex.org/W4206377173","doi":"https://doi.org/10.1109/bibm52615.2021.9669717","title":"A Knowledge-aware Machine Reading Comprehension Framework for Dialogue Symptom Diagnosis","display_name":"A Knowledge-aware Machine Reading Comprehension Framework for Dialogue Symptom Diagnosis","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206377173","doi":"https://doi.org/10.1109/bibm52615.2021.9669717"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669717","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":"article","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/A5053031721","display_name":"Xiongjun Zhao","orcid":"https://orcid.org/0000-0003-1315-1396"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiongjun Zhao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083696246","display_name":"Yingjie Cheng","orcid":"https://orcid.org/0000-0001-7232-9946"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Cheng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043288923","display_name":"Weiming Xiang","orcid":"https://orcid.org/0000-0002-9307-6965"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Xiang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078061633","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-3208-2042"},"institutions":[{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["The Second Xiangya Hospital, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital, Central South University, Changsha, China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053878765","display_name":"Lin Han","orcid":"https://orcid.org/0000-0002-8569-7972"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Han","raw_affiliation_strings":["HeNan Supercomputer Center, ZhengZhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"HeNan Supercomputer Center, ZhengZhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022800604","display_name":"Jiandong Shang","orcid":"https://orcid.org/0009-0001-7673-2641"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Shang","raw_affiliation_strings":["HeNan Supercomputer Center, ZhengZhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"HeNan Supercomputer Center, ZhengZhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108008219","display_name":"Shaoliang Peng","orcid":"https://orcid.org/0000-0002-4647-2615"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoliang Peng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5053031721"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.377,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61432043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"abs 1907 11692","issue":null,"first_page":"1185","last_page":"1190"},"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/T13629","display_name":"Text Readability and Simplification","score":0.9850000143051147,"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/T12031","display_name":"Speech and dialogue systems","score":0.9818999767303467,"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/computer-science","display_name":"Computer science","score":0.8257752656936646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7165725827217102},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6638671159744263},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6587164402008057},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.6281336545944214},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6014232635498047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800895690917969},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5271115899085999},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5163139700889587},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48455873131752014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4554561674594879},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.44756168127059937},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4112711250782013},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33713725209236145},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11534881591796875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257752656936646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7165725827217102},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6638671159744263},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6587164402008057},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.6281336545944214},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6014232635498047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800895690917969},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5271115899085999},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5163139700889587},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48455873131752014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4554561674594879},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.44756168127059937},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4112711250782013},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33713725209236145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11534881591796875},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669717","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326871","display_name":"State Key Laboratory of Chemo/Biosensing and Chemometrics","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2147880316","https://openalex.org/W2624677889","https://openalex.org/W2798161840","https://openalex.org/W2806237610","https://openalex.org/W2809324505","https://openalex.org/W2851886341","https://openalex.org/W2886305736","https://openalex.org/W2896457183","https://openalex.org/W2905810301","https://openalex.org/W2908510526","https://openalex.org/W2912971066","https://openalex.org/W2949922292","https://openalex.org/W2962881743","https://openalex.org/W2963108794","https://openalex.org/W2963748441","https://openalex.org/W2965373594","https://openalex.org/W2971066408","https://openalex.org/W3034408002","https://openalex.org/W3035625205","https://openalex.org/W3174130957","https://openalex.org/W3210120707","https://openalex.org/W4293350112","https://openalex.org/W6682082992","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6766673545","https://openalex.org/W6802852670"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2384605597","https://openalex.org/W2988126442","https://openalex.org/W2387743295","https://openalex.org/W1974414866","https://openalex.org/W2115758952","https://openalex.org/W1976369278"],"abstract_inverted_index":{"Symptom":[0],"diagnosis":[1,29],"in":[2,49,98],"dialogue":[3,42,58,77,134,160],"remains":[4],"a":[5,31,54,65,88,156],"challenging":[6],"task":[7,36],"because":[8],"the":[9,21,82,95,99,107,123,131,138,142],"symptom":[10,28,59,83,96,126,161],"entities":[11],"and":[12,37,80,146,165],"their":[13],"status":[14,97,127],"need":[15],"to":[16,93],"be":[17],"extracted":[18],"correctly":[19],"at":[20,170],"same":[22],"time.":[23],"Most":[24],"previous":[25,143],"studies":[26],"treat":[27],"as":[30,43,64,78],"classification":[32],"or":[33],"sequence":[34],"labeling":[35],"focus":[38],"on":[39,130],"using":[40],"single-sentence":[41],"input.":[44],"Unique":[45],"from":[46,106],"past":[47],"studies,":[48],"this":[50],"paper,":[51],"we":[52,86],"propose":[53],"new":[55],"framework":[56,112,140,154],"for":[57,90,159],"diagnosis,":[60],"which":[61,119,150],"formulate":[62],"it":[63],"machine":[66],"reading":[67],"comprehension":[68],"(MRC)":[69],"task.":[70],"We":[71],"first":[72],"use":[73],"window-level":[74],"multi-turn":[75],"of":[76,101,125],"input":[79],"extract":[81],"entities.":[84],"Then,":[85],"generate":[87],"question":[89,102],"each":[91],"entity":[92],"infer":[94],"form":[100],"answering":[103],"(QA).":[104],"Benefit":[105],"MRC":[108],"formalization,":[109],"our":[110,153],"proposed":[111,139],"can":[113,120],"encode":[114],"more":[115],"informative":[116],"prior":[117],"knowledge,":[118],"effectively":[121],"improve":[122],"performance":[124],"inference.":[128],"Experiments":[129],"Chinese":[132],"medical":[133],"dataset":[135],"show":[136],"that":[137,152],"outperforms":[141],"best":[144],"model":[145],"several":[147],"competitive":[148],"baselines,":[149],"indicates":[151],"provides":[155],"useful":[157],"direction":[158],"diagnosis.":[162],"The":[163],"code":[164],"data":[166],"are":[167],"publicly":[168],"available":[169],"https://github.com/zhaoxiongjun/DSD.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}