{"title":"ALQAC 2022中法律处理任务的集成学习方法","authors":"Hau Nguyen Trung, S. N. Truong","doi":"10.1109/KSE56063.2022.9953756","DOIUrl":null,"url":null,"abstract":"Automated Legal Question Answering Competition is an annual competition to find the best solution to automatically answer legal questions based on well-known statute laws in the Vietnamese Language. In this paper, we will demonstrate how to solve the problems posed by ALQAC 2022, using BERT and its variants as a backbone network. In addition, we also study using tf-idf and BM-25 to rank the relevance of legal documents. At the same time, this publication also show how to enhance training data to solve the problem of limited training data.","PeriodicalId":330865,"journal":{"name":"2022 14th International Conference on Knowledge and Systems Engineering (KSE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ensemble Learning Methods for Legal Processing Tasks in ALQAC 2022\",\"authors\":\"Hau Nguyen Trung, S. N. Truong\",\"doi\":\"10.1109/KSE56063.2022.9953756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated Legal Question Answering Competition is an annual competition to find the best solution to automatically answer legal questions based on well-known statute laws in the Vietnamese Language. In this paper, we will demonstrate how to solve the problems posed by ALQAC 2022, using BERT and its variants as a backbone network. In addition, we also study using tf-idf and BM-25 to rank the relevance of legal documents. At the same time, this publication also show how to enhance training data to solve the problem of limited training data.\",\"PeriodicalId\":330865,\"journal\":{\"name\":\"2022 14th International Conference on Knowledge and Systems Engineering (KSE)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Knowledge and Systems Engineering (KSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KSE56063.2022.9953756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Knowledge and Systems Engineering (KSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KSE56063.2022.9953756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ensemble Learning Methods for Legal Processing Tasks in ALQAC 2022
Automated Legal Question Answering Competition is an annual competition to find the best solution to automatically answer legal questions based on well-known statute laws in the Vietnamese Language. In this paper, we will demonstrate how to solve the problems posed by ALQAC 2022, using BERT and its variants as a backbone network. In addition, we also study using tf-idf and BM-25 to rank the relevance of legal documents. At the same time, this publication also show how to enhance training data to solve the problem of limited training data.
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