{"id":"https://openalex.org/W2971232986","doi":"https://doi.org/10.18653/v1/d19-1499","title":"Semi-supervised Text Style Transfer: Cross Projection in Latent Space","display_name":"Semi-supervised Text Style Transfer: Cross Projection in Latent Space","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971232986","doi":"https://doi.org/10.18653/v1/d19-1499","mag":"2971232986"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1499","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1499","pdf_url":"https://www.aclweb.org/anthology/D19-1499.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1499.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052835344","display_name":"Mingyue Shang","orcid":"https://orcid.org/0009-0000-6523-3516"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Shang","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061435467","display_name":"Piji Li","orcid":"https://orcid.org/0000-0003-1474-3692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Piji Li","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China,","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112559463","display_name":"Zhenxin Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxin Fu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086674741","display_name":"Lidong Bing","orcid":"https://orcid.org/0000-0003-4565-6313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lidong Bing","raw_affiliation_strings":["R&D Center Singapore, Machine Intelligence Technology, Alibaba DAMO Academy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D Center Singapore, Machine Intelligence Technology, Alibaba DAMO Academy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037132097","display_name":"Dongyan Zhao","orcid":"https://orcid.org/0000-0002-0396-6703"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Zhao","raw_affiliation_strings":["Center for Data Science, China","Wangxuan Institute of Computer Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Science, China","institution_ids":[]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087920747","display_name":"Shuming Shi","orcid":"https://orcid.org/0000-0001-7018-0682"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuming Shi","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China,","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716372","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-3356-6823"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Center for Data Science, China","Wangxuan Institute of Computer Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Science, China","institution_ids":[]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4936","last_page":"4945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9825999736785889,"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":0.740199625492096},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6804723143577576},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6194557547569275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5736641883850098},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5562952756881714},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5247809290885925},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5208271741867065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09283265471458435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07419189810752869},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07067397236824036},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.060330361127853394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740199625492096},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6804723143577576},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6194557547569275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5736641883850098},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5562952756881714},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5247809290885925},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5208271741867065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09283265471458435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07419189810752869},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07067397236824036},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.060330361127853394},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1499","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1499","pdf_url":"https://www.aclweb.org/anthology/D19-1499.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1499","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1499","pdf_url":"https://www.aclweb.org/anthology/D19-1499.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G2602370256","display_name":null,"funder_award_id":"2017YFC0804001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G367289946","display_name":null,"funder_award_id":"61876196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8874090203","display_name":"\u57fa\u4e8e\u5927\u89c4\u6a21\u77e5\u8bc6\u5e93\u7684\u95ee\u7b54\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971232986.pdf","grobid_xml":"https://content.openalex.org/works/W2971232986.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1591706642","https://openalex.org/W1832693441","https://openalex.org/W1959608418","https://openalex.org/W2064675550","https://openalex.org/W2099471712","https://openalex.org/W2101105183","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2143017621","https://openalex.org/W2250539671","https://openalex.org/W2315316408","https://openalex.org/W2467173223","https://openalex.org/W2546938941","https://openalex.org/W2617566453","https://openalex.org/W2740094762","https://openalex.org/W2798931235","https://openalex.org/W2885100978","https://openalex.org/W2888173624","https://openalex.org/W2888556895","https://openalex.org/W2889411261","https://openalex.org/W2890231609","https://openalex.org/W2891348164","https://openalex.org/W2892100238","https://openalex.org/W2914442349","https://openalex.org/W2953320089","https://openalex.org/W2963206679","https://openalex.org/W2963216553","https://openalex.org/W2963366196","https://openalex.org/W2963631950","https://openalex.org/W2964008635","https://openalex.org/W2964222296","https://openalex.org/W2964308564","https://openalex.org/W2964321064","https://openalex.org/W2964912036","https://openalex.org/W2977248202","https://openalex.org/W2993787675","https://openalex.org/W4289306372","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2356229341","https://openalex.org/W2349768204","https://openalex.org/W4313326281","https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W574867512","https://openalex.org/W2387271333","https://openalex.org/W581389233","https://openalex.org/W2361120309","https://openalex.org/W632157940"],"abstract_inverted_index":{"Mingyue":[0],"Shang,":[1],"Piji":[2],"Li,":[3],"Zhenxin":[4],"Fu,":[5],"Lidong":[6],"Bing,":[7],"Dongyan":[8],"Zhao,":[9],"Shuming":[10],"Shi,":[11],"Rui":[12],"Yan.":[13],"Proceedings":[14],"of":[15],"the":[16,27],"2019":[17],"Conference":[18,31],"on":[19,32],"Empirical":[20],"Methods":[21],"in":[22],"Natural":[23,33],"Language":[24,34],"Processing":[25,35],"and":[26],"9th":[28],"International":[29],"Joint":[30],"(EMNLP-IJCNLP).":[36],"2019.":[37]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}