{"id":"https://openalex.org/W3015757654","doi":"https://doi.org/10.1109/icassp40776.2020.9053236","title":"From Unsupervised Machine Translation to Adversarial Text Generation","display_name":"From Unsupervised Machine Translation to Adversarial Text Generation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015757654","doi":"https://doi.org/10.1109/icassp40776.2020.9053236","mag":"3015757654"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5103935867","display_name":"Ahmad Rashid","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmad Rashid","raw_affiliation_strings":["Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050462426","display_name":"Alan Do-Omri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alan Do-Omri","raw_affiliation_strings":["Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003389639","display_name":"Md. Akmal Haidar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Md. Akmal Haidar","raw_affiliation_strings":["Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028862918","display_name":"Mehdi Rezagholizadeh","orcid":"https://orcid.org/0000-0003-4014-6007"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehdi Rezagholizadeh","raw_affiliation_strings":["Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Montreal Research Centre,Huawei Noah&#x2019;s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210115038"],"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":"8194","last_page":"8198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9890999794006348,"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":0.8198272585868835},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7209494113922119},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6570616960525513},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6419744491577148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286868453025818},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6235955953598022},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.6107199192047119},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5946977138519287},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5917755365371704},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5895527601242065},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4711514711380005},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41140830516815186},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08475905656814575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08376666903495789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198272585868835},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7209494113922119},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6570616960525513},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6419744491577148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286868453025818},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6235955953598022},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.6107199192047119},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5946977138519287},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5917755365371704},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5895527601242065},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4711514711380005},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41140830516815186},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08475905656814575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08376666903495789},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W648786980","https://openalex.org/W2064675550","https://openalex.org/W2099471712","https://openalex.org/W2101105183","https://openalex.org/W2130942839","https://openalex.org/W2345720230","https://openalex.org/W2413794162","https://openalex.org/W2493916176","https://openalex.org/W2542835211","https://openalex.org/W2624872001","https://openalex.org/W2757836268","https://openalex.org/W2785678896","https://openalex.org/W2804078698","https://openalex.org/W2807747378","https://openalex.org/W2893051557","https://openalex.org/W2896457183","https://openalex.org/W2939626761","https://openalex.org/W2962784628","https://openalex.org/W2962824887","https://openalex.org/W2962879692","https://openalex.org/W2963206679","https://openalex.org/W2963216553","https://openalex.org/W2963216928","https://openalex.org/W2963248348","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963602293","https://openalex.org/W2963836885","https://openalex.org/W2963909453","https://openalex.org/W4294149591","https://openalex.org/W4295521014","https://openalex.org/W4298393544","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6621543089","https://openalex.org/W6638575559","https://openalex.org/W6679436768","https://openalex.org/W6695909211","https://openalex.org/W6728610325","https://openalex.org/W6735913928","https://openalex.org/W6739334166","https://openalex.org/W6739901393","https://openalex.org/W6744415713","https://openalex.org/W6745388339","https://openalex.org/W6745740328","https://openalex.org/W6748582592","https://openalex.org/W6752378359","https://openalex.org/W6752378368","https://openalex.org/W6755207826","https://openalex.org/W6761450362","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W3132883577","https://openalex.org/W2398841776","https://openalex.org/W4385570684"],"abstract_inverted_index":{"We":[0,98],"present":[1],"a":[2,32,76,83,90],"self-attention":[3],"based":[4,44,92],"bilingual":[5],"adversarial":[6,93],"text":[7,15,96],"generator":[8],"(B-GAN)":[9],"which":[10,37],"can":[11,38,66],"learn":[12],"to":[13,30,46,115],"generate":[14,31,47,67],"from":[16],"the":[17,62,122],"encoder":[18,54],"representation":[19,36],"of":[20,78,124],"an":[21,42,53],"unsupervised":[22],"neural":[23],"machine":[24],"translation":[25,88],"system.":[26],"B-GAN":[27,72],"is":[28,73],"able":[29],"distributed":[33],"latent":[34],"space":[35],"be":[39],"paired":[40,60],"with":[41,61],"attention":[43],"decoder":[45],"fluent":[48,112],"sentences.":[49],"When":[50],"trained":[51,74,102],"on":[52,103],"shared":[55],"between":[56],"two":[57],"languages":[58],"and":[59,89],"appropriate":[63],"decoder,":[64],"it":[65],"sentences":[68,113],"in":[69],"either":[70],"language.":[71],"using":[75,107,120],"combination":[77],"reconstruction":[79],"loss":[80,86,94],"for":[81,87,95],"auto-encoder,":[82],"cross":[84],"domain":[85],"GAN":[91],"generation.":[97],"demonstrate":[99],"that":[100],"B-GAN,":[101],"monolingual":[104,116],"corpora":[105],"only":[106],"multiple":[108],"losses,":[109],"generates":[110],"more":[111],"compared":[114],"baselines":[117],"while":[118],"effectively":[119],"half":[121],"number":[123],"parameters.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
