Dear Primo

The large amount of data coming from the numerous lawsuits in progress or already judged by the STF (Brazilian Supreme Court) consists of non-structured data, which leads to a large number of hidden or unknown information, as some relationships between lawsuits that are not explicit in the available data. These conditions also contribute to generate non-intuitive influences between variables and to increase the degree of uncertainty. However, many lawsuits can be decided based in certain patterns like: (i) the comparison to lawsuits with similar features (area of the Law, parties involved, nature of the claim, rapporteur, etc), (ii) the comparison to outcomes taken by a judge with a history of judging similar lawsuits, and (iii) the comparison to laws considered in past cases. All these parameters and some other patterns observed in past lawsuits provide a framework of non-structured data that can be transformed in useful data to predict new outcomes. This work proposes an approach to identify possible judgement outcomes that considers aspects beyond the analytical techniques. Through the use of similarity calculations and clustering mechanisms, the proposed solution was built in order to find the most similar lawsuits for a new instance that is being tested. By analysing some meta-data, it is possible to find a similar case already judged, since the amount of data provided by the judicial system are quite large. By the developing of a program that detects clusters and compiles past votes, the results shown that is possible to verify the most likely outcome and to detect its degree of uncertainty.

task-based instruction

FERDINAND BULUSAN

Uploaded by Ferdinand Bulusan, Master of Arts in Language Education student at Cagayan State University, Andrews Campus. This will help you better understand Task-Based Instruction. If you need more elucidations of the topic, you can contact me via email: fgbulusan_gmail@yahoo.com or pm me via my facebook account. I can likewise be invited to lecture on variegated language topics and issues. Thanks --FERDZ

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