Summarization of legal documents: Where are we now and the way forward

D Jain, MD Borah, A Biswas - Computer Science Review, 2021 - Elsevier
Due to huge amount of legal information availability on the internet, as well as other sources,
it is important for the research community to do more extensive research on the area of legal …

A sentence is known by the company it keeps: improving legal document summarization using deep clustering

D Jain, MD Borah, A Biswas - Artificial Intelligence and Law, 2024 - Springer
The appropriate understanding and fast processing of lengthy legal documents are
computationally challenging problems. Designing efficient automatic summarization …

Improving YOLOv6 using advanced PSO optimizer for weight selection in lung cancer detection and classification

L Goel, P Patel - Multimedia Tools and Applications, 2024 - Springer
The human body comprises various essential organs, including the lungs, which are
responsible for the exchange of gases during respiration. However, the modern lifestyle and …

Bayesian optimization based score fusion of linguistic approaches for improving legal document summarization

D Jain, MD Borah, A Biswas - Knowledge-Based Systems, 2023 - Elsevier
Due to the lengthy and complex nature of legal documents, automatic summarization has
very high applicability in this domain. Recently, several researchers have proposed …

[HTML][HTML] A comprehensive review on automatic text summarization

I Akhmetov, S Nurlybayeva, I Ualiyeva, A Pak… - Computación y …, 2023 - scielo.org.mx
This article presents a broad overview of Automatic Text Summarization (ATS) as a
downstream Natural Language Processing (NLP) task. We explore the bibliometrics …

A weighted word embedding based approach for extractive text summarization

R Rani, DK Lobiyal - Expert Systems with Applications, 2021 - Elsevier
Automatic text summarization (ATS) is a method to condense a long size text document into
abridging form by envelo** all the primary information and central theme. Numerous ATS …

[HTML][HTML] Extractive social media text summarization based on MFMMR-BertSum

J Fan, X Tian, C Lv, S Zhang, Y Wang, J Zhang - Array, 2023 - Elsevier
The advancement of computer technology has led to an overwhelming amount of textual
information, hindering the efficiency of knowledge intake. To address this issue, various text …

A hybrid of modified YOLOv3 with BBO/EE optimizer for lung cancer detection

L Goel, S Mishra - Multimedia Tools and Applications, 2024 - Springer
The human body comprises various essential organs, including the lungs responsible for
gas exchange during respiration. The prevalence of modern lifestyle and environmental …

Summarization of text and image captioning in information retrieval using deep learning techniques

P Mahalakshmi, NS Fatima - IEEE Access, 2022 - ieeexplore.ieee.org
Automated information retrieval and text summarization concept is a difficult process in
natural language processing because of the infrequent structure and high complexity of the …

Summarization of lengthy legal documents via abstractive dataset building: An extract-then-assign approach

D Jain, MD Borah, A Biswas - Expert Systems with Applications, 2024 - Elsevier
Abstract Development of effective automatic summarization approaches for legal documents
suffer from several challenges like extremely long document-summary pairs, lack of large …