{"id":"https://openalex.org/W2971116243","doi":"https://doi.org/10.18653/v1/d19-1309","title":"An End-to-End Generative Architecture for Paraphrase Generation","display_name":"An End-to-End Generative Architecture for Paraphrase Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971116243","doi":"https://doi.org/10.18653/v1/d19-1309","mag":"2971116243"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1309","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1309","pdf_url":"https://www.aclweb.org/anthology/D19-1309.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1309.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043904334","display_name":"Qian Yang","orcid":"https://orcid.org/0000-0002-8102-288X"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qian Yang","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069872293","display_name":"Zhouyuan Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhouyuan Huo","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013573244","display_name":"Dinghan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinghan Shen","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674551","display_name":"Yong Cheng","orcid":"https://orcid.org/0000-0002-6465-3022"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Cheng","raw_affiliation_strings":["Google AI"],"affiliations":[{"raw_affiliation_string":"Google AI","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558666","display_name":"Wenlin Wang","orcid":"https://orcid.org/0009-0008-2844-0063"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenlin Wang","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031220156","display_name":"Guoyin Wang","orcid":"https://orcid.org/0000-0002-8521-5232"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoyin Wang","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5043904334"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":3.5004,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94269616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3130","last_page":"3140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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/paraphrase","display_name":"Paraphrase","score":0.8313289880752563},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6454781293869019},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6148035526275635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069967746734619},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5582796931266785},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5542343854904175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5215413570404053},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.43467479944229126},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.41416698694229126},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.20889243483543396},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.17252719402313232},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06647053360939026}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.8313289880752563},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6454781293869019},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6148035526275635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069967746734619},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5582796931266785},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5542343854904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5215413570404053},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.43467479944229126},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.41416698694229126},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.20889243483543396},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.17252719402313232},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06647053360939026}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1309","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1309","pdf_url":"https://www.aclweb.org/anthology/D19-1309.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/d19-1309","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1309","pdf_url":"https://www.aclweb.org/anthology/D19-1309.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":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971116243.pdf","grobid_xml":"https://content.openalex.org/works/W2971116243.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W137105571","https://openalex.org/W648786980","https://openalex.org/W1505629914","https://openalex.org/W1522301498","https://openalex.org/W1776056560","https://openalex.org/W1787338159","https://openalex.org/W1959608418","https://openalex.org/W1980519283","https://openalex.org/W2051593977","https://openalex.org/W2058925381","https://openalex.org/W2061433145","https://openalex.org/W2064675550","https://openalex.org/W2090243146","https://openalex.org/W2099471712","https://openalex.org/W2101105183","https://openalex.org/W2103081392","https://openalex.org/W2108501770","https://openalex.org/W2112644606","https://openalex.org/W2119717200","https://openalex.org/W2130942839","https://openalex.org/W2133512280","https://openalex.org/W2133564696","https://openalex.org/W2149327368","https://openalex.org/W2167170026","https://openalex.org/W2174424190","https://openalex.org/W2188365844","https://openalex.org/W2250225488","https://openalex.org/W2250539671","https://openalex.org/W2510976782","https://openalex.org/W2531908596","https://openalex.org/W2557480356","https://openalex.org/W2560750384","https://openalex.org/W2566820872","https://openalex.org/W2566926700","https://openalex.org/W2581637843","https://openalex.org/W2612712031","https://openalex.org/W2625357353","https://openalex.org/W2755124548","https://openalex.org/W2799069271","https://openalex.org/W2922338294","https://openalex.org/W2962798930","https://openalex.org/W2962934171","https://openalex.org/W2962953307","https://openalex.org/W2963126845","https://openalex.org/W2963223306","https://openalex.org/W2963226019","https://openalex.org/W2963248348","https://openalex.org/W2963373778","https://openalex.org/W2963403868","https://openalex.org/W2963463583","https://openalex.org/W2963558220","https://openalex.org/W2964017345","https://openalex.org/W2964121744","https://openalex.org/W2964167449","https://openalex.org/W2964202145","https://openalex.org/W2964222296","https://openalex.org/W2964268978","https://openalex.org/W2964308564","https://openalex.org/W2964324871","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W4394643672"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W3137243147","https://openalex.org/W4206666510","https://openalex.org/W2018298289","https://openalex.org/W2782520308","https://openalex.org/W3175194702","https://openalex.org/W2251069562","https://openalex.org/W2148689572","https://openalex.org/W3120390996","https://openalex.org/W2496310762"],"abstract_inverted_index":{"Qian":[0],"Yang,":[1],"Zhouyuan":[2],"Huo,":[3],"Dinghan":[4],"Shen,":[5],"Yong":[6],"Cheng,":[7],"Wenlin":[8],"Wang,":[9,11],"Guoyin":[10],"Lawrence":[12],"Carin.":[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":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
