Nguyen Ha Thanh, Minh Q. Bui, Chau Nguyen, Tung Le, Phuong Minh Nguyen, Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy-Tien Nguyen, Bhumindr Butr-indr, P. Vateekul, P. Boonkwan
{"title":"ALQAC 2021竞赛总结","authors":"Nguyen Ha Thanh, Minh Q. Bui, Chau Nguyen, Tung Le, Phuong Minh Nguyen, Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy-Tien Nguyen, Bhumindr Butr-indr, P. Vateekul, P. Boonkwan","doi":"10.1109/kse53942.2021.9648724","DOIUrl":null,"url":null,"abstract":"We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the statute law document, which are Legal Text Information Retrieval (Task 1), Legal Text Entailment Prediction (Task 2), and Legal Text Question Answering (Task 3). The final goal of these tasks is to build a system that can automatically determine whether a particular statement is lawful. There is no limit to the approaches of the participating teams. This year, there are 5 teams participating in Task 1, 6 teams participating in Task 2, and 5 teams participating in Task 3. There are in total 36 runs submitted to the organizer. In this paper, we summarize each team's approaches, official results, and some discussion about the competition. Only results of the teams who successfully submit their approach description paper are reported in this paper.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A Summary of the ALQAC 2021 Competition\",\"authors\":\"Nguyen Ha Thanh, Minh Q. Bui, Chau Nguyen, Tung Le, Phuong Minh Nguyen, Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy-Tien Nguyen, Bhumindr Butr-indr, P. Vateekul, P. Boonkwan\",\"doi\":\"10.1109/kse53942.2021.9648724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the statute law document, which are Legal Text Information Retrieval (Task 1), Legal Text Entailment Prediction (Task 2), and Legal Text Question Answering (Task 3). The final goal of these tasks is to build a system that can automatically determine whether a particular statement is lawful. There is no limit to the approaches of the participating teams. This year, there are 5 teams participating in Task 1, 6 teams participating in Task 2, and 5 teams participating in Task 3. There are in total 36 runs submitted to the organizer. In this paper, we summarize each team's approaches, official results, and some discussion about the competition. Only results of the teams who successfully submit their approach description paper are reported in this paper.\",\"PeriodicalId\":130986,\"journal\":{\"name\":\"2021 13th International Conference on Knowledge and Systems Engineering (KSE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 13th International Conference on Knowledge and Systems Engineering (KSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/kse53942.2021.9648724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/kse53942.2021.9648724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the statute law document, which are Legal Text Information Retrieval (Task 1), Legal Text Entailment Prediction (Task 2), and Legal Text Question Answering (Task 3). The final goal of these tasks is to build a system that can automatically determine whether a particular statement is lawful. There is no limit to the approaches of the participating teams. This year, there are 5 teams participating in Task 1, 6 teams participating in Task 2, and 5 teams participating in Task 3. There are in total 36 runs submitted to the organizer. In this paper, we summarize each team's approaches, official results, and some discussion about the competition. Only results of the teams who successfully submit their approach description paper are reported in this paper.