Javier Sánchez-Junquera, Paolo Rosso, M. Montes-y-Gómez, Berta Chulvi
{"title":"刻板印象识别的掩蔽和bert模型","authors":"Javier Sánchez-Junquera, Paolo Rosso, M. Montes-y-Gómez, Berta Chulvi","doi":"10.26342/2021-67-7","DOIUrl":null,"url":null,"abstract":"The work of the authors from the Universitat Politecnica of Valencia was funded by the Spanish Ministry of Science and Innovation under the research project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31). Experiments were carried out on the GPU cluster at PRHLT thanks to the PROMETEO/2019/121 (DeepPattern) research project funded by the Generalitat Valenciana.","PeriodicalId":258781,"journal":{"name":"Proces. del Leng. Natural","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Masking and BERT-based Models for Stereotype Identication\",\"authors\":\"Javier Sánchez-Junquera, Paolo Rosso, M. Montes-y-Gómez, Berta Chulvi\",\"doi\":\"10.26342/2021-67-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work of the authors from the Universitat Politecnica of Valencia was funded by the Spanish Ministry of Science and Innovation under the research project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31). Experiments were carried out on the GPU cluster at PRHLT thanks to the PROMETEO/2019/121 (DeepPattern) research project funded by the Generalitat Valenciana.\",\"PeriodicalId\":258781,\"journal\":{\"name\":\"Proces. del Leng. Natural\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proces. del Leng. Natural\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26342/2021-67-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proces. del Leng. Natural","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26342/2021-67-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Masking and BERT-based Models for Stereotype Identication
The work of the authors from the Universitat Politecnica of Valencia was funded by the Spanish Ministry of Science and Innovation under the research project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31). Experiments were carried out on the GPU cluster at PRHLT thanks to the PROMETEO/2019/121 (DeepPattern) research project funded by the Generalitat Valenciana.