{"id":"https://openalex.org/W2197447031","doi":"https://doi.org/10.1109/bibm.2015.7359945","title":"A question-answering system over Traditional Chinese Medicine","display_name":"A question-answering system over Traditional Chinese Medicine","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2197447031","doi":"https://doi.org/10.1109/bibm.2015.7359945","mag":"2197447031"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2015.7359945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5050076674","display_name":"Xiangzhou Huang","orcid":"https://orcid.org/0000-0001-8870-4341"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzhou Huang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343712","display_name":"Yin Zhang\u22c6","orcid":"https://orcid.org/0000-0002-1772-0763"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111618601","display_name":"Baogang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baogang Wei","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046125484","display_name":"Liang Yao","orcid":"https://orcid.org/0000-0002-4081-6499"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1737","last_page":"1739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.998199999332428,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9947999715805054,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8383176326751709},{"id":"https://openalex.org/keywords/encyclopedia","display_name":"Encyclopedia","score":0.7339696288108826},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6808640956878662},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6574773788452148},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6438805460929871},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6052899360656738},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5771034955978394},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4998464584350586},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.4916732907295227},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46988561749458313},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4467235803604126},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44442278146743774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42753374576568604},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.39275527000427246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8383176326751709},{"id":"https://openalex.org/C148863701","wikidata":"https://www.wikidata.org/wiki/Q5292","display_name":"Encyclopedia","level":2,"score":0.7339696288108826},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6808640956878662},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6574773788452148},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6438805460929871},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6052899360656738},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5771034955978394},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4998464584350586},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.4916732907295227},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46988561749458313},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4467235803604126},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44442278146743774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42753374576568604},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.39275527000427246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2015.7359945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"},{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1485852130","https://openalex.org/W1984034677","https://openalex.org/W2015556048","https://openalex.org/W2074126326","https://openalex.org/W2080132606","https://openalex.org/W2099685860","https://openalex.org/W2111194626","https://openalex.org/W2532870184","https://openalex.org/W4251137120","https://openalex.org/W6605815150"],"related_works":["https://openalex.org/W2393940967","https://openalex.org/W2385598138","https://openalex.org/W2366925922","https://openalex.org/W2159591557","https://openalex.org/W2115592387","https://openalex.org/W2346578824","https://openalex.org/W2905950556","https://openalex.org/W2112534334","https://openalex.org/W120168696","https://openalex.org/W2153245103"],"abstract_inverted_index":{"Traditional":[0],"Chinese":[1,17,50,112],"Medicine":[2],"(TCM)":[3],"has":[4],"been":[5],"around":[6],"for":[7,49,108,147],"thousands":[8],"of":[9,16,23,30,57,97,139,161,205,215],"years":[10],"and":[11,27,39,52,83,92,129],"it's":[12],"a":[13,67,105,116,144,159,181],"significant":[14,48],"part":[15],"cultural":[18],"heritage.":[19],"The":[20,95,203],"theoretical":[21],"framework":[22],"TCM":[24,46,58],"is":[25,47,100],"unique":[26],"with":[28,126,188,208],"rich":[29],"content,":[31],"which":[32,72,131,169,191],"contains":[33],"the":[34,55,85,89,120,136,155,173,213],"complex":[35],"relationships":[36],"between":[37],"disease":[38],"medicine.":[40],"Research":[41],"on":[42,119],"question-answering":[43],"(QA)":[44],"over":[45,70,111,158],"NLP":[51],"representative,":[53],"because":[54],"resources":[56],"are":[59,132,170],"mostly":[60],"Chinese-based.":[61],"In":[62],"this":[63,98],"paper":[64,99],"we":[65,103,142,179],"present":[66,143],"QA":[68],"system":[69],"TCM,":[71],"transforms":[73],"user":[74],"supplied":[75],"questions":[76],"into":[77],"conjunctive":[78],"query":[79],"sentences":[80],"(i.e.":[81,201],"SQL)":[82],"retrieves":[84],"answer":[86],"from":[87,197],"both":[88],"built-up":[90],"dataset":[91,121],"online":[93,198],"encyclopedia.":[94],"contribution":[96],"threefold:":[101],"Firstly,":[102],"introduce":[104],"novel":[106,145],"approach":[107],"word":[109],"segmentation":[110],"questions.":[113],"We":[114,153],"employ":[115],"TF-IDF":[117],"model":[118],"to":[122,134,150,164,175,183,194],"generate":[123,176],"domain-specific":[124],"dictionary":[125],"weight":[127],"factor":[128],"tags,":[130],"computed":[133],"select":[135],"best":[137],"result":[138],"segmentation.":[140],"Secondly,":[141],"method":[146,182],"constructing":[148],"queries":[149,211],"retrieve":[151],"answers.":[152],"compute":[154],"entity-attribute":[156],"distance":[157],"set":[160],"tagged":[162],"words":[163],"construct":[165],"incomplete":[166],"ontology":[167],"instances,":[168],"used":[171],"as":[172],"intermediary":[174],"queries.":[177],"Lastly,":[178],"propose":[180],"integrate":[184],"web":[185],"data":[186],"extraction":[187],"question":[189],"answering,":[190],"allows":[192],"us":[193],"extract":[195],"answers":[196],"encyclopedia":[199],"website":[200],"Wikipedia).":[202],"results":[204],"our":[206,216],"evaluation":[207],"50":[209],"benchmark":[210],"demonstrate":[212],"value":[214],"approach.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}