FIRE2020 AILA Track: Legal domain search with minimal domain knowledge

We have used document embedding model with cosine similarity to understand the similarity between documents. Paragraph vector [3], which is an unsupervised algorithm that learns

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

Task 1 is to identify the relvant prior case and the Task 2 is to identify the most relevant statues for any given situation / query.This task can be viewed as a unsuperrvised

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

Regarding the legal approaches to event extraction and representation, we have divided previous literature in three different communities: Legal Information Retrieval (LIR)

In this paper we investigated the application of text classification methods to the legal domain using the cases and rulings of the French Supreme Court.. We showed that a system

thesis will, therefore, propose new representation and reasoning options, along with resources related to time processing (such as sets of rules or tagged corpora), in order to build

The development of OntONeo follows the Open Biomedical Ontologies (OBO) Foundry principles, which aims to develop a set of interoperable ontologies for representation of biological