{"id":"https://openalex.org/W2971278746","doi":"https://doi.org/10.18653/v1/d19-1517","title":"YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension","display_name":"YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971278746","doi":"https://doi.org/10.18653/v1/d19-1517","mag":"2971278746"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1517","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1517","pdf_url":"https://www.aclweb.org/anthology/D19-1517.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/D19-1517.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044626278","display_name":"Weiying Wang","orcid":"https://orcid.org/0000-0002-4482-6272"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Wang","raw_affiliation_strings":["School of Information, Renmin Unversity of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin Unversity of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037082491","display_name":"Yongcheng Wang","orcid":"https://orcid.org/0000-0002-1647-2956"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongcheng Wang","raw_affiliation_strings":["School of Information, Renmin Unversity of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin Unversity of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776086","display_name":"Shizhe Chen","orcid":"https://orcid.org/0000-0002-7313-9703"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizhe Chen","raw_affiliation_strings":["School of Information, Renmin Unversity of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin Unversity of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009985839","display_name":"Qin Jin","orcid":"https://orcid.org/0000-0001-6486-6020"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Jin","raw_affiliation_strings":["School of Information, Renmin Unversity of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin Unversity of China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.098,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.85667367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5132","last_page":"5142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.996999979019165,"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":0.7695084810256958},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6035923361778259},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5580306649208069},{"id":"https://openalex.org/keywords/chen","display_name":"Chen","score":0.5275960564613342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5159736275672913},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5039369463920593},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4850274920463562},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.4362636208534241},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14088353514671326},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0756167471408844},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07417464256286621},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06881433725357056},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06804296374320984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.057693690061569214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695084810256958},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6035923361778259},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5580306649208069},{"id":"https://openalex.org/C2776085556","wikidata":"https://www.wikidata.org/wiki/Q183361","display_name":"Chen","level":2,"score":0.5275960564613342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159736275672913},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5039369463920593},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4850274920463562},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.4362636208534241},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14088353514671326},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0756167471408844},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07417464256286621},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06881433725357056},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06804296374320984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.057693690061569214},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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:10.18653/v1/d19-1517","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1517","pdf_url":"https://www.aclweb.org/anthology/D19-1517.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/d19-1517","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1517","pdf_url":"https://www.aclweb.org/anthology/D19-1517.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":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3625693645","display_name":null,"funder_award_id":"61772535","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971278746.pdf","grobid_xml":"https://content.openalex.org/works/W2971278746.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1575833922","https://openalex.org/W1895577753","https://openalex.org/W1933349210","https://openalex.org/W1956340063","https://openalex.org/W1995820507","https://openalex.org/W2019660985","https://openalex.org/W2099614498","https://openalex.org/W2101105183","https://openalex.org/W2108598243","https://openalex.org/W2109698606","https://openalex.org/W2131744502","https://openalex.org/W2133459682","https://openalex.org/W2153579005","https://openalex.org/W2154652894","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2493916176","https://openalex.org/W2506483933","https://openalex.org/W2550936021","https://openalex.org/W2561715562","https://openalex.org/W2606982687","https://openalex.org/W2613718673","https://openalex.org/W2784025607","https://openalex.org/W2796136333","https://openalex.org/W2889713529","https://openalex.org/W2952132648","https://openalex.org/W2954173938","https://openalex.org/W2956823000","https://openalex.org/W2962795934","https://openalex.org/W2963247196","https://openalex.org/W2963499233","https://openalex.org/W2963541336","https://openalex.org/W2963890755","https://openalex.org/W2963916161","https://openalex.org/W2964094654","https://openalex.org/W2964242760","https://openalex.org/W3034636873","https://openalex.org/W3101998545","https://openalex.org/W4294170691","https://openalex.org/W4298000964","https://openalex.org/W4298392976"],"related_works":["https://openalex.org/W2370310922","https://openalex.org/W2386975637","https://openalex.org/W2891436901","https://openalex.org/W2388837937","https://openalex.org/W2087355708","https://openalex.org/W2385339070","https://openalex.org/W4291238811","https://openalex.org/W2390434941","https://openalex.org/W2385344059","https://openalex.org/W2351657747"],"abstract_inverted_index":{"Weiying":[0],"Wang,":[1,3],"Yongcheng":[2],"Shizhe":[4],"Chen,":[5],"Qin":[6],"Jin.":[7],"Proceedings":[8],"of":[9],"the":[10,21],"2019":[11],"Conference":[12,25],"on":[13,26],"Empirical":[14],"Methods":[15],"in":[16],"Natural":[17,27],"Language":[18,28],"Processing":[19,29],"and":[20],"9th":[22],"International":[23],"Joint":[24],"(EMNLP-IJCNLP).":[30],"2019.":[31]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
