N. C. D. Silva, F. A. Braz, T. D. Campos, A. Guedes, Danilo Barros Mendes, D. Bezerra, D. B. Gusmao, Felipe Borges S. Chaves, Gabriel G. Ziegler, L. Horinouchi, Marcelo U. Ferreira, P. H. Inazawa, V. Coelho, Ricardo V. C. Fernandes, Fabiano Peixoto, Mamede Said Maia Filho, Bernardo Pablo Sukiennik, Lahis Rosa, Roberta Paula Medeiros Silva, Tainá Aguiar Junquilho, G. Carvalho
{"title":"使用卷积神经网络为巴西最高法院进行文件类型分类","authors":"N. C. D. Silva, F. A. Braz, T. D. Campos, A. Guedes, Danilo Barros Mendes, D. Bezerra, D. B. Gusmao, Felipe Borges S. Chaves, Gabriel G. Ziegler, L. Horinouchi, Marcelo U. Ferreira, P. H. Inazawa, V. Coelho, Ricardo V. C. Fernandes, Fabiano Peixoto, Mamede Said Maia Filho, Bernardo Pablo Sukiennik, Lahis Rosa, Roberta Paula Medeiros Silva, Tainá Aguiar Junquilho, G. Carvalho","doi":"10.5769/c2018001","DOIUrl":null,"url":null,"abstract":"The Brazilian Court System is currently the biggest judiciary system in the world, and receives an extremely high number of lawsuit cases every day. These cases need to be analyzed in order to be associated to relevant tags and allocated to the right team. Most of the cases reach the court as single PDF files containing multiple documents. One of the first steps for the analysis is to classify these documents. In this paper we present results on identifying these pieces of document using a simple convolutional neural network.","PeriodicalId":275250,"journal":{"name":"Proceedings of The Tenth International Conference on Forensic Computer Science and Cyber Law","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Document type classification for Brazil’s supreme court using a Convolutional Neural Network\",\"authors\":\"N. C. D. Silva, F. A. Braz, T. D. Campos, A. Guedes, Danilo Barros Mendes, D. Bezerra, D. B. Gusmao, Felipe Borges S. Chaves, Gabriel G. Ziegler, L. Horinouchi, Marcelo U. Ferreira, P. H. Inazawa, V. Coelho, Ricardo V. C. Fernandes, Fabiano Peixoto, Mamede Said Maia Filho, Bernardo Pablo Sukiennik, Lahis Rosa, Roberta Paula Medeiros Silva, Tainá Aguiar Junquilho, G. Carvalho\",\"doi\":\"10.5769/c2018001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Brazilian Court System is currently the biggest judiciary system in the world, and receives an extremely high number of lawsuit cases every day. These cases need to be analyzed in order to be associated to relevant tags and allocated to the right team. Most of the cases reach the court as single PDF files containing multiple documents. One of the first steps for the analysis is to classify these documents. In this paper we present results on identifying these pieces of document using a simple convolutional neural network.\",\"PeriodicalId\":275250,\"journal\":{\"name\":\"Proceedings of The Tenth International Conference on Forensic Computer Science and Cyber Law\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The Tenth International Conference on Forensic Computer Science and Cyber Law\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5769/c2018001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The Tenth International Conference on Forensic Computer Science and Cyber Law","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5769/c2018001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Document type classification for Brazil’s supreme court using a Convolutional Neural Network
The Brazilian Court System is currently the biggest judiciary system in the world, and receives an extremely high number of lawsuit cases every day. These cases need to be analyzed in order to be associated to relevant tags and allocated to the right team. Most of the cases reach the court as single PDF files containing multiple documents. One of the first steps for the analysis is to classify these documents. In this paper we present results on identifying these pieces of document using a simple convolutional neural network.
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