{"id":"https://openalex.org/W4385572989","doi":"https://doi.org/10.18653/v1/2022.wanlp-1.55","title":"Generative Approach for Gender-Rewriting Task with ArabicT5","display_name":"Generative Approach for Gender-Rewriting Task with ArabicT5","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4385572989","doi":"https://doi.org/10.18653/v1/2022.wanlp-1.55"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2022.wanlp-1.55","doi":"https://doi.org/10.18653/v1/2022.wanlp-1.55","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.wanlp-1.55","pdf_url":"https://aclanthology.org/2022.wanlp-1.55.pdf","source":{"id":"https://openalex.org/S7407085968","display_name":"Arabic Natural Language Processing Workshop (WANLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Seventh Arabic Natural Language Processing Workshop (WANLP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2022.wanlp-1.55.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023462766","display_name":"Sultan Alrowili","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sultan Alrowili","raw_affiliation_strings":["Department of Computer Science University of Delaware Newark, Delaware, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Delaware Newark, Delaware, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004267853","display_name":"Vijay K. Shanker","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Vijay-Shanker","raw_affiliation_strings":["Department of Computer Science University of Delaware Newark, Delaware, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Delaware Newark, Delaware, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023462766"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68211625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"491","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9214000105857849,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9214000105857849,"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":0.060600001364946365,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.002199999988079071,"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/gender-agreement","display_name":"gender agreement","score":0.4090000092983246},{"id":"https://openalex.org/keywords/arabic-machine-translation","display_name":"Arabic machine translation","score":0.765999972820282},{"id":"https://openalex.org/keywords/sequence-to-sequence-models","display_name":"sequence-to-sequence models","score":0.6510000228881836},{"id":"https://openalex.org/keywords/pretraining","display_name":"pre-training","score":0.5199999809265137},{"id":"https://openalex.org/keywords/arabic-natural-language-processing","display_name":"Arabic language processing","score":0.6039999723434448}],"concepts":[{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.8905019760131836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8387426137924194},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.797568678855896},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.740753173828125},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7387868165969849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6680194139480591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62364262342453},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5731266736984253},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5497607588768005},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.4183807969093323},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2630469799041748},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10879239439964294},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2022.wanlp-1.55","doi":"https://doi.org/10.18653/v1/2022.wanlp-1.55","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.wanlp-1.55","pdf_url":"https://aclanthology.org/2022.wanlp-1.55.pdf","source":{"id":"https://openalex.org/S7407085968","display_name":"Arabic Natural Language Processing Workshop (WANLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Seventh Arabic Natural Language Processing Workshop (WANLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2022.wanlp-1.55","doi":"https://doi.org/10.18653/v1/2022.wanlp-1.55","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.wanlp-1.55","pdf_url":"https://aclanthology.org/2022.wanlp-1.55.pdf","source":{"id":"https://openalex.org/S7407085968","display_name":"Arabic Natural Language Processing Workshop (WANLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Seventh Arabic Natural Language Processing Workshop (WANLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6025999784469604,"display_name":"Gender equality"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385572989.pdf","grobid_xml":"https://content.openalex.org/works/W4385572989.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2153013403","https://openalex.org/W2885185669","https://openalex.org/W2950813464","https://openalex.org/W2963341956","https://openalex.org/W2975059944","https://openalex.org/W2981852735","https://openalex.org/W2982399380","https://openalex.org/W2996035354","https://openalex.org/W3093517588","https://openalex.org/W3169483174","https://openalex.org/W3199241049","https://openalex.org/W3207963957","https://openalex.org/W4285289306","https://openalex.org/W4287889745","https://openalex.org/W4297663785","https://openalex.org/W4385567119"],"related_works":["https://openalex.org/W4385567119","https://openalex.org/W3207963957","https://openalex.org/W6959693609","https://openalex.org/W4385571817","https://openalex.org/W6927112677","https://openalex.org/W4403937771","https://openalex.org/W4320532280","https://openalex.org/W2972654913","https://openalex.org/W4412944385","https://openalex.org/W4285289306"],"abstract_inverted_index":{"Addressing":[0],"the":[1,16,19,23,35,41,66,83,101],"correct":[2],"gender":[3],"in":[4,15],"generative":[5],"tasks":[6],"(e.g.,":[7],"Machine":[8],"Translation)":[9],"has":[10,30],"been":[11],"an":[12],"overlooked":[13],"issue":[14],"Arabic":[17,24,36,57,107],"NLP.However,":[18],"recent":[20],"introduction":[21],"of":[22,56],"Parallel":[25],"Gender":[26,37,42],"Corpus":[27],"(APGC)":[28],"dataset":[29,68,103],"established":[31],"new":[32,49],"baselines":[33],"for":[34],"Rewriting":[38,43],"task.To":[39],"address":[40],"task,":[44],"we":[45,59],"first":[46],"pre-train":[47],"our":[48,62,77,94],"Seq2Seq":[50],"Ara-bicT5":[51],"model":[52,64,96],"on":[53,65,82,100],"a":[54,70],"17GB":[55],"Corpora.Then,":[58],"continue":[60],"pre-training":[61],"ArabicT5":[63,78,95],"APGC":[67,84,102],"using":[69],"newly":[71],"proposed":[72],"method.Our":[73],"evaluation":[74],"shows":[75,97],"that":[76],"model,":[79],"when":[80],"trained":[81],"dataset,":[85],"achieved":[86],"competitive":[87],"results":[88,99],"against":[89],"existing":[90],"state-of-the-art":[91],"methods.In":[92],"addition,":[93],"better":[98],"compared":[104],"to":[105],"other":[106],"and":[108],"multilingual":[109],"T5":[110],"models.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-08-05T00:00:00"}
