Spectre@AILA-FIRE2020: Supervised Rhetorical Role Labeling for Legal Judgments using Transformers

In this proposed work explains the method used to solve the problem given in the shared task on Artificial Intelligence for Legal Assistance proposed by the Forum of

Different learning rate, epoch , and random seed are tested.When it come to the train data, we randomly chose 80% of the given documents and use them as the train data,10% of

In this regard, FIRE2020 proposed a task and named it AILA2020 (artificial intelligence for legal assistance) to improve the legal aid of artificial intelligence, For the two

We tackle task1 in the AILA 2020 shared task, where the goal is to retrieve precedent and statute documents related to a case document query in the Indian legal domain.. We use

This paper reports the zyy1510 team’s work in the HASOC-Offensive Language Identification-Dravidian Code-Mixed FIRE 2020 shared task, whose goal is to identify the offensive language

McCrae, Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text, in: Proceedings of the 12th Forum for Information Retrieval Evaluation, FIRE ’20,

For the task of identifying relevant statues, the proposed improved BM25 models exploit the search results as the reference documents of the current case and

We first extract the topic words from the given situa- tion and use the topic words as a query to identify the relevant prior cases by using the information