{"id":"https://openalex.org/W3015655929","doi":"https://doi.org/10.1109/tnnls.2020.2979225","title":"Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification","display_name":"Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification","publication_year":2020,"publication_date":"2020-04-10","ids":{"openalex":"https://openalex.org/W3015655929","doi":"https://doi.org/10.1109/tnnls.2020.2979225","mag":"3015655929","pmid":"https://pubmed.ncbi.nlm.nih.gov/32287008"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2979225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2979225","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100612161","display_name":"Deqing Wang","orcid":"https://orcid.org/0000-0001-6441-4390"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqing Wang","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6441-4390","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077678202","display_name":"Baoyu Jing","orcid":"https://orcid.org/0000-0003-1564-6499"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoyu Jing","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1564-6499","affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077708126","display_name":"Chenwei Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwei Lu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035293475","display_name":"Junjie Wu","orcid":"https://orcid.org/0000-0001-7650-3657"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Wu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","School of Economics and Management, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7650-3657","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607490","display_name":"Guannan Liu","orcid":"https://orcid.org/0000-0002-4532-7109"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Liu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","School of Economics and Management, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014268104","display_name":"Chenguang Du","orcid":"https://orcid.org/0000-0002-2176-9156"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Du","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102969899","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0002-0520-2619"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0520-2619","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7533,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9432554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"2","first_page":"736","last_page":"747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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":0.7986069917678833},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6937003135681152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904439091682434},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5632840991020203},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5315672755241394},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5220234990119934},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4847716689109802},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4304400682449341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4234629273414612},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.41041308641433716},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35984116792678833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1055932343006134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986069917678833},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6937003135681152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904439091682434},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5632840991020203},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5315672755241394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5220234990119934},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4847716689109802},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4304400682449341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4234629273414612},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.41041308641433716},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35984116792678833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1055932343006134},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.2979225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2979225","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32287008","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32287008","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1305972272","display_name":null,"funder_award_id":"71725002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G219350903","display_name":null,"funder_award_id":"2019YFB2101804","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G461350835","display_name":null,"funder_award_id":"U1836206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5152102630","display_name":null,"funder_award_id":"U1636210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5415502266","display_name":null,"funder_award_id":"71531001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6578780207","display_name":null,"funder_award_id":"2018YFB1402800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7287961335","display_name":"\u4e2d\u6587\u793e\u4ea4\u5316\u77ed\u6587\u672c\u60c5\u611f\u5206\u6790\u4e0e\u8bdd\u9898\u6316\u6398\u7814\u7a76","funder_award_id":"71501003","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W665341","https://openalex.org/W1565746575","https://openalex.org/W1731081199","https://openalex.org/W1880262756","https://openalex.org/W1970275213","https://openalex.org/W1985155799","https://openalex.org/W1985615910","https://openalex.org/W1998894210","https://openalex.org/W2001082470","https://openalex.org/W2016015339","https://openalex.org/W2027570514","https://openalex.org/W2044429219","https://openalex.org/W2061806977","https://openalex.org/W2068599126","https://openalex.org/W2071018795","https://openalex.org/W2071332064","https://openalex.org/W2108420397","https://openalex.org/W2110591510","https://openalex.org/W2112544000","https://openalex.org/W2123733030","https://openalex.org/W2129604374","https://openalex.org/W2131953535","https://openalex.org/W2142074148","https://openalex.org/W2142262074","https://openalex.org/W2143374704","https://openalex.org/W2146341620","https://openalex.org/W2148271195","https://openalex.org/W2157076169","https://openalex.org/W2158108973","https://openalex.org/W2158199200","https://openalex.org/W2167660864","https://openalex.org/W2174302041","https://openalex.org/W2211769421","https://openalex.org/W2217916860","https://openalex.org/W2250773991","https://openalex.org/W2250895110","https://openalex.org/W2252153787","https://openalex.org/W2285851273","https://openalex.org/W2287612586","https://openalex.org/W2288762393","https://openalex.org/W2342085406","https://openalex.org/W2398879410","https://openalex.org/W2514567832","https://openalex.org/W2562439797","https://openalex.org/W2963308086","https://openalex.org/W2998115938","https://openalex.org/W4231510805","https://openalex.org/W6600031548","https://openalex.org/W6637618735","https://openalex.org/W6639619044","https://openalex.org/W6676676662","https://openalex.org/W6676781583","https://openalex.org/W6679108089","https://openalex.org/W6680819841","https://openalex.org/W6683115396","https://openalex.org/W6688307479","https://openalex.org/W6688754573"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"Cross-lingual":[0],"sentiment":[1,93,140],"classification":[2],"(CLSC)":[3],"aims":[4],"to":[5,13,31,100,117,213],"leverage":[6],"rich-labeled":[7],"resources":[8],"in":[9,21,180],"the":[10,22,33,59,65,72,82,108,119,188,198],"source":[11,183],"language":[12,77,184,195],"improve":[14],"prediction":[15],"models":[16,90],"of":[17,35,95,103,150,190,200,233],"a":[18,113,123,164,175],"resource-scarce":[19],"domain":[20],"target":[23],"language.":[24],"Existing":[25],"feature":[26,161,191],"representation":[27,60,121,162],"learning-based":[28],"approaches":[29],"try":[30],"minimize":[32,187],"difference":[34,74,189],"latent":[36,104,160],"features":[37],"between":[38,75,193],"different":[39,153],"domains":[40,78,154,196],"by":[41,47,122,163],"exact":[42],"alignment,":[43,56],"which":[44,144,181],"is":[45,79,210],"achieved":[46],"either":[48],"one-to-one":[49],"topic":[50,125],"alignment":[51,115,126,166],"or":[52,91],"matrix":[53],"projection.":[54],"Exact":[55],"however,":[57],"restricts":[58],"flexibility":[61],"and":[62,139,148,155],"further":[63,169],"degrades":[64],"model":[66,142],"performances":[67],"on":[68,219],"CLSC":[69],"tasks":[70],"if":[71],"distribution":[73],"two":[76,194],"large.":[80],"On":[81],"other":[83],"hand,":[84],"most":[85],"previous":[86],"studies":[87],"proposed":[88,212],"document-level":[89],"ignored":[92],"polarities":[94],"topics":[96],"that":[97,227],"might":[98],"lead":[99],"insufficient":[101],"learning":[102],"features.":[105],"To":[106,168],"solve":[107],"abovementioned":[109],"problems,":[110],"we":[111,133,172],"propose":[112,134,173],"coarse":[114,165],"mechanism":[116],"enhance":[118],"model's":[120],"group-to-group":[124],"into":[127],"an":[128,135,204],"aspect-level":[129],"fine-grained":[130],"model.":[131,216],"First,":[132],"unsupervised":[136],"aspect,":[137],"opinion,":[138],"unification":[141],"(AOS),":[143],"trimodels":[145],"aspects,":[146],"opinions,":[147],"sentiments":[149],"reviews":[151],"from":[152],"helps":[156],"capture":[157],"more":[158],"accurate":[159],"mechanism.":[167],"boost":[170],"AOS,":[171],"ps-AOS,":[174],"partial":[176],"supervised":[177],"AOS":[178],"model,":[179],"labeled":[182],"data":[185,224],"help":[186,199],"representations":[192],"with":[197,207],"logistics":[201],"regression.":[202],"Finally,":[203],"expectation-maximization":[205],"framework":[206],"Gibbs":[208],"sampling":[209],"then":[211],"optimize":[214],"our":[215],"Extensive":[217],"experiments":[218],"various":[220,231],"multilingual":[221],"product":[222],"review":[223],"sets":[225],"show":[226],"ps-AOS":[228],"significantly":[229],"outperforms":[230],"kinds":[232],"state-of-the-art":[234],"baselines.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}