{"id":"https://openalex.org/W3004983594","doi":"https://doi.org/10.1109/bibm47256.2019.8983384","title":"TCM Translator: A Sequence Generation Approach for Prescribing Herbal Medicines","display_name":"TCM Translator: A Sequence Generation Approach for Prescribing Herbal Medicines","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004983594","doi":"https://doi.org/10.1109/bibm47256.2019.8983384","mag":"3004983594"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5100729938","display_name":"Zeyuan Wang","orcid":"https://orcid.org/0009-0009-8599-270X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zeyuan Wang","raw_affiliation_strings":["School of Computer Science, The University of Sydney,Sydney,Australia","School of Computer Science, The University of Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085086413","display_name":"Josiah Poon","orcid":"https://orcid.org/0000-0003-3371-8628"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Josiah Poon","raw_affiliation_strings":["School of Computer Science, The University of Sydney,Sydney,Australia","School of Computer Science, The University of Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003933623","display_name":"Simon Poon","orcid":"https://orcid.org/0000-0003-2726-9109"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Simon Poon","raw_affiliation_strings":["School of Computer Science, The University of Sydney,Sydney,Australia","School of Computer Science, The University of Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2474","last_page":"2480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.989300012588501,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.989300012588501,"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":0.988099992275238,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9742000102996826,"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/sentence","display_name":"Sentence","score":0.740715742111206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087066173553467},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.674140989780426},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6414984464645386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5915746092796326},{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.49289536476135254},{"id":"https://openalex.org/keywords/chinese-herbs","display_name":"Chinese herbs","score":0.46978631615638733},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.46109238266944885},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45940864086151123},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4535561203956604},{"id":"https://openalex.org/keywords/traditional-chinese-medicine","display_name":"Traditional Chinese medicine","score":0.3501238226890564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3219521641731262},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20574045181274414},{"id":"https://openalex.org/keywords/alternative-medicine","display_name":"Alternative medicine","score":0.10877326130867004}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.740715742111206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087066173553467},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.674140989780426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6414984464645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5915746092796326},{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.49289536476135254},{"id":"https://openalex.org/C2909810673","wikidata":"https://www.wikidata.org/wiki/Q261503","display_name":"Chinese herbs","level":4,"score":0.46978631615638733},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.46109238266944885},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45940864086151123},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4535561203956604},{"id":"https://openalex.org/C188947578","wikidata":"https://www.wikidata.org/wiki/Q200253","display_name":"Traditional Chinese medicine","level":3,"score":0.3501238226890564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3219521641731262},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20574045181274414},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.10877326130867004},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W192837634","https://openalex.org/W854541894","https://openalex.org/W1504113064","https://openalex.org/W1522301498","https://openalex.org/W1679978654","https://openalex.org/W1753402186","https://openalex.org/W1902237438","https://openalex.org/W1940872118","https://openalex.org/W1967127210","https://openalex.org/W1992035102","https://openalex.org/W1999954155","https://openalex.org/W2024828837","https://openalex.org/W2028094853","https://openalex.org/W2042737779","https://openalex.org/W2052684427","https://openalex.org/W2064675550","https://openalex.org/W2094313031","https://openalex.org/W2105497545","https://openalex.org/W2107878631","https://openalex.org/W2111698337","https://openalex.org/W2118712128","https://openalex.org/W2133564696","https://openalex.org/W2139501017","https://openalex.org/W2140124448","https://openalex.org/W2145677303","https://openalex.org/W2146241755","https://openalex.org/W2156935079","https://openalex.org/W2157331557","https://openalex.org/W2158085718","https://openalex.org/W2251599843","https://openalex.org/W2267186426","https://openalex.org/W2550553598","https://openalex.org/W2761444862","https://openalex.org/W2767556409","https://openalex.org/W2781918655","https://openalex.org/W2782374321","https://openalex.org/W2896457183","https://openalex.org/W2904294973","https://openalex.org/W2938084527","https://openalex.org/W2949169239","https://openalex.org/W2963096510","https://openalex.org/W2963211364","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963590118","https://openalex.org/W2963625095","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2978520562","https://openalex.org/W3023177620","https://openalex.org/W4385245566","https://openalex.org/W6607887047","https://openalex.org/W6623517193","https://openalex.org/W6639478124","https://openalex.org/W6657420014","https://openalex.org/W6677758222","https://openalex.org/W6685810106","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2402777966","https://openalex.org/W2348058632","https://openalex.org/W3024349614","https://openalex.org/W2383805591","https://openalex.org/W2348508520","https://openalex.org/W2365373248","https://openalex.org/W2477263636"],"abstract_inverted_index":{"In":[0,107,171],"traditional":[1],"Chinese":[2],"medicine":[3],"(TCM),":[4],"herbal":[5],"prescriptions":[6,44],"are":[7,36,102],"accumulated":[8],"from":[9],"doctors'":[10],"clinical":[11,40],"experience":[12],"and":[13,34,42,58,71,93,132,187,209],"play":[14],"an":[15,130],"essential":[16],"role":[17],"in":[18,50,104,146],"treatment":[19],"process":[20],"for":[21,38,140],"more":[22],"than":[23],"thousands":[24],"of":[25,69,98,109,129,156,185],"years.":[26],"Mining":[27],"their":[28],"containing":[29],"many-to-many":[30],"relationship":[31],"between":[32],"symptoms":[33,92,124,157,186],"herbs":[35,197],"important":[37],"both":[39,103],"practice":[41],"novel":[43,115],"development.":[45],"Previously,":[46],"the":[47,67,86,94,142,159,166,182,192,196],"research":[48],"attention":[49],"this":[51,110,172],"field":[52],"is":[53,89,135,163,175,189,207],"attracted":[54],"by":[55,91,214],"topic":[56],"models":[57,213],"multi-label":[59],"classification":[60],"approaches,":[61],"but":[62],"they":[63],"don't":[64],"fully":[65],"capture":[66],"correlations":[68,184],"labels":[70],"achieve":[72],"very":[73],"promising":[74],"performance.":[75],"Alternatively,":[76],"we":[77,112],"problematic":[78],"it":[79],"as":[80,177,191],"a":[81,114,133,136,154,215],"machine":[82,143],"translation":[83,144],"problem,":[84],"that":[85,203],"source":[87],"sentence":[88,96],"formed":[90],"target":[95,167],"consists":[97],"herbs.":[99,126,170],"Two":[100],"sentences":[101],"weakly":[105],"order.":[106],"terms":[108],"assumption,":[111],"propose":[113],"sequence-to-sequence":[116],"(seq2seq)":[117],"architecture,":[118],"namely":[119],"TCM":[120],"translator,":[121],"to":[122,125,158,165,180,194],"translate":[123],"Seq2seq,":[127],"consisting":[128],"encoder":[131,179],"decoder,":[134],"well":[137],"known":[138],"framework":[139],"resolving":[141],"problem":[145],"natural":[147],"language":[148],"processing":[149],"(NLP)":[150],"community.":[151],"It":[152],"maps":[153],"bag":[155],"latent":[160,183],"space,":[161],"which":[162],"decoded":[164],"sentence,":[168],"i.e.,":[169],"paper,":[173],"transformer":[174],"used":[176],"our":[178,204],"explore":[181],"LSTM":[188],"implemented":[190],"decoder":[193],"generate":[195],"sequentially.":[198],"The":[199],"experimental":[200],"results":[201],"demonstrate":[202],"proposed":[205],"approach":[206],"effective":[208],"outperforms":[210],"other":[211],"baseline":[212],"substantial":[216],"margin.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}