{"title":"印度法律判决摘要","authors":"Priyanka Prabhakar, Deepa Gupta, P. Pati","doi":"10.1109/OCIT56763.2022.00056","DOIUrl":null,"url":null,"abstract":"This paper reports the effectiveness of a method using T5 to generate an abstractive summarisation of Indian legal judgments. When a legally qualified person manually performs summarisation, the created summary always depends on the person's expertise in performing the task. So an automatic legal summarization is used to perform this task more accurately. The system generates an abstractive summary of 350 judgments taken from the Honorable Supreme Court of India. The dataset has been created manually with a lawyer's help, and the result evaluation is performed using the ROUGE score, which gave a precision of 0.54955 for Rouge-L.","PeriodicalId":425541,"journal":{"name":"2022 OITS International Conference on Information Technology (OCIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Abstractive Summarization of Indian Legal Judgments\",\"authors\":\"Priyanka Prabhakar, Deepa Gupta, P. Pati\",\"doi\":\"10.1109/OCIT56763.2022.00056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports the effectiveness of a method using T5 to generate an abstractive summarisation of Indian legal judgments. When a legally qualified person manually performs summarisation, the created summary always depends on the person's expertise in performing the task. So an automatic legal summarization is used to perform this task more accurately. The system generates an abstractive summary of 350 judgments taken from the Honorable Supreme Court of India. The dataset has been created manually with a lawyer's help, and the result evaluation is performed using the ROUGE score, which gave a precision of 0.54955 for Rouge-L.\",\"PeriodicalId\":425541,\"journal\":{\"name\":\"2022 OITS International Conference on Information Technology (OCIT)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 OITS International Conference on Information Technology (OCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCIT56763.2022.00056\",\"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 OITS International Conference on Information Technology (OCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCIT56763.2022.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstractive Summarization of Indian Legal Judgments
This paper reports the effectiveness of a method using T5 to generate an abstractive summarisation of Indian legal judgments. When a legally qualified person manually performs summarisation, the created summary always depends on the person's expertise in performing the task. So an automatic legal summarization is used to perform this task more accurately. The system generates an abstractive summary of 350 judgments taken from the Honorable Supreme Court of India. The dataset has been created manually with a lawyer's help, and the result evaluation is performed using the ROUGE score, which gave a precision of 0.54955 for Rouge-L.
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