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Found 10 papers, 4 papers with code
Exploring Large Language Models for Code Explanation
Automating code documentation through explanatory text can prove highly beneficial in code understanding.
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
Summarization of legal case judgement documents is a challenging problem in Legal NLP.
Legal Case Document Similarity: You Need Both Network and Text
Our experiments establish that our proposed network-based methods significantly improve the correlation with domain experts' opinion when compared to the existing methods for network-based legal document similarity.
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Automatic summarization of legal case documents is an important and practical challenge.
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
We propose to augment the PCNet with the hierarchy of legal statutes, to form a heterogeneous network Hier-SPCNet, having citation links between case documents and statutes, as well as citation and hierarchy links among the statutes.
Methods for Computing Legal Document Similarity: A Comparative Study
Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval.
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments
Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summarization of legal judgments, legal search, and so on.
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters
In Cross-Language Information Retrieval, finding the appropriate translation of the source language query has always been a difficult problem to solve.
UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval
In this paper, we propose an approach based on word embeddings, a method that captures contextual clues for a particular word in the source language and gives those words as translations that occur in a similar context in the target language.
Evolution of the Modern Phase of Written Bangla: A Statistical Study
Active languages such as Bangla (or Bengali) evolve over time due to a variety of social, cultural, economic, and political issues.
