End-to-end transformer-based models in textual-based NLP

A Rahali, MA Akhloufi - AI, 2023 - mdpi.com
Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

A survey on legal question–answering systems

J Martinez-Gil - Computer Science Review, 2023 - Elsevier
Many legal professionals think the explosion of information about local, regional, national,
and international legislation makes their practice more costly, time-consuming, and error …

Analysis of Digital Information in Storage Devices Using Supervised and Unsupervised Natural Language Processing Techniques

LA Martínez Hernández, AL Sandoval Orozco… - Future Internet, 2023 - mdpi.com
Due to the advancement of technology, cybercrime has increased considerably, making
digital forensics essential for any organisation. One of the most critical challenges is to …

Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

SK Nigam, SK Mishra, AK Mishra, N Shallum… - arXiv preprint arXiv …, 2023 - arxiv.org
Legal QA platforms bear the promise to metamorphose the manner in which legal experts
engage with jurisprudential documents. In this exposition, we embark on a comparative …

[PDF][PDF] Advancements in Legal Document Processing and Summarization

V Kusabi, P Jain, R Palesha, K Khandelwal… - COMPUTER, 2024 - journalcrd.org
Efficient analysis of legal documents is essential for legal proceedings, requiring accurate
extraction and interpretation of information from intricate textual materials. Traditional …

Who Has the Right to Life: Using Text Mining and Machine Learning to Examine Legal Framing Innovation

C Beeson-lynch - 2023 - ir.vanderbilt.edu
Since the Supreme Court's landmark ruling in Roe v. Wade (1973), antiabortion activists
have organized efforts to protest the legality of abortion and prevent women from obtaining …

Apprentissage Profond Pour la Détection des Menaces et des Contenus Toxiques Dans les Cyberenvironnements

A Rahali - 2023 - search.proquest.com
L'apprentissage profond est un outil prometteur pour détecter les menaces et les contenus
toxiques sur les plateformes en ligne. Ses capacités d'apprentissage automatique …