{"id":"https://openalex.org/W2969646439","doi":"https://doi.org/10.18653/v1/d19-1322","title":"\u201cTransforming\u201d Delete, Retrieve, Generate Approach for Controlled Text Style Transfer","display_name":"\u201cTransforming\u201d Delete, Retrieve, Generate Approach for Controlled Text Style Transfer","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969646439","doi":"https://doi.org/10.18653/v1/d19-1322","mag":"2969646439"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1322","pdf_url":"https://www.aclweb.org/anthology/D19-1322.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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1322.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070351881","display_name":"Akhilesh Sudhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Akhilesh Sudhakar","raw_affiliation_strings":["Indian Institute of Technology BHU, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology BHU, Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066444063","display_name":"Bhargav Upadhyay","orcid":"https://orcid.org/0009-0008-6104-920X"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhargav Upadhyay","raw_affiliation_strings":["Intel (United States), Santa Clara, United States"],"affiliations":[{"raw_affiliation_string":"Intel (United States), Santa Clara, United States","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014773552","display_name":"Arjun Maheswaran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arjun Maheswaran","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070351881"],"corresponding_institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"],"apc_list":null,"apc_paid":null,"fwci":0.7233,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78753128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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":0.9853000044822693,"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/transformer","display_name":"Transformer","score":0.8237916827201843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8046553134918213},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6715565919876099},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6525476574897766},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.6371853351593018},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6124056577682495},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6042953729629517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772303342819214},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5068398118019104},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4325731694698334},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4207330048084259},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11443448066711426}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8237916827201843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046553134918213},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6715565919876099},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6525476574897766},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.6371853351593018},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6124056577682495},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6042953729629517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772303342819214},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5068398118019104},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4325731694698334},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4207330048084259},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11443448066711426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d19-1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1322","pdf_url":"https://www.aclweb.org/anthology/D19-1322.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"},{"id":"pmh:oai:arXiv.org:1908.09368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.09368","pdf_url":"https://arxiv.org/pdf/1908.09368","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2969646439","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1908.09368.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1908.09368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.09368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1322","pdf_url":"https://www.aclweb.org/anthology/D19-1322.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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969646439.pdf","grobid_xml":"https://content.openalex.org/works/W2969646439.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W648786980","https://openalex.org/W2016589492","https://openalex.org/W2101105183","https://openalex.org/W2114296159","https://openalex.org/W2315316408","https://openalex.org/W2562979205","https://openalex.org/W2567639685","https://openalex.org/W2604444020","https://openalex.org/W2788321882","https://openalex.org/W2794557536","https://openalex.org/W2801454967","https://openalex.org/W2805572053","https://openalex.org/W2885765530","https://openalex.org/W2888173624","https://openalex.org/W2889933256","https://openalex.org/W2898799786","https://openalex.org/W2945440166","https://openalex.org/W2950678422","https://openalex.org/W2951733164","https://openalex.org/W2962816513","https://openalex.org/W2963034998","https://openalex.org/W2963341956","https://openalex.org/W2963366196","https://openalex.org/W2963403868","https://openalex.org/W2963626623","https://openalex.org/W2963631950","https://openalex.org/W2963667126","https://openalex.org/W2964008635","https://openalex.org/W2964222296","https://openalex.org/W2964321064"],"related_works":["https://openalex.org/W2970562804","https://openalex.org/W3166473936","https://openalex.org/W2804714352","https://openalex.org/W3029651876","https://openalex.org/W3000546628","https://openalex.org/W63634982","https://openalex.org/W2787170477","https://openalex.org/W3118205297","https://openalex.org/W2803483156","https://openalex.org/W2251404146","https://openalex.org/W2762499503","https://openalex.org/W2806408237","https://openalex.org/W2775618581","https://openalex.org/W2796070532","https://openalex.org/W2899959903","https://openalex.org/W3138417868","https://openalex.org/W2997654986","https://openalex.org/W2793501144","https://openalex.org/W3213586699","https://openalex.org/W2941263658"],"abstract_inverted_index":{"Akhilesh":[0],"Sudhakar,":[1],"Bhargav":[2],"Upadhyay,":[3],"Arjun":[4],"Maheswaran.":[5],"Proceedings":[6],"of":[7],"the":[8,19],"2019":[9],"Conference":[10,23],"on":[11,24],"Empirical":[12],"Methods":[13],"in":[14],"Natural":[15,25],"Language":[16,26],"Processing":[17,27],"and":[18],"9th":[20],"International":[21],"Joint":[22],"(EMNLP-IJCNLP).":[28],"2019.":[29]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
