Applying Argument Extraction to Improve Legal Information Retrieval

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

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

This form of domain knowledge is modeled in a bottom-up manner, using the references to legal texts in the literature as instances in the bottom levels of the concept hierarchy..

We manually analyze a set of documents – legal cases, practitioner oriented journal publications, and scholarly oriented journal publications – and register by what (type of)

The task of precedence retrieval can be modeled as a task of information retrieval, where the current case document (or a description of the current situation) will be used as

This qualitative study results in a set of NLP-based rules for automated extraction of semantic legal metadata, covering the majority of the phrase-level metadata types and

<sentence> <intro> For the purposes of this Directive and of the regulatory acts listed in Annex IV, save as otherwise provided therein: </intro>