How does NLP benefit legal system: A summary of legal artificial intelligence
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial
intelligence, especially natural language processing, to benefit tasks in the legal domain. In …
intelligence, especially natural language processing, to benefit tasks in the legal domain. In …
MultiEURLEX--A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
We introduce MULTI-EURLEX, a new multilingual dataset for topic classification of legal
documents. The dataset comprises 65k European Union (EU) laws, officially translated in 23 …
documents. The dataset comprises 65k European Union (EU) laws, officially translated in 23 …
Fedlegal: The first real-world federated learning benchmark for legal nlp
Z Zhang, X Hu, J Zhang, Y Zhang… - Proceedings of the …, 2023 - aclanthology.org
The inevitable private information in legal data necessitates legal artificial intelligence to
study privacy-preserving and decentralized learning methods. Federated learning (FL) has …
study privacy-preserving and decentralized learning methods. Federated learning (FL) has …
Named entity recognition in indian court judgments
P Kalamkar, A Agarwal, A Tiwari, S Gupta… - arXiv preprint arXiv …, 2022 - arxiv.org
Identification of named entities from legal texts is an essential building block for developing
other legal Artificial Intelligence applications. Named Entities in legal texts are slightly …
other legal Artificial Intelligence applications. Named Entities in legal texts are slightly …
NLP for the Greek language: A brief survey
K Papantoniou, Y Tzitzikas - 11th hellenic conference on artificial …, 2020 - dl.acm.org
There is a plethora of methods, tools and resources for processing text in the English
language, however this is not the case for other languages, like Greek. Due to the increasing …
language, however this is not the case for other languages, like Greek. Due to the increasing …
Optimizing numerical estimation and operational efficiency in the legal domain through large language models
The legal landscape encompasses a wide array of lawsuit types, presenting lawyers with
challenges in delivering timely and accurate information to clients, particularly concerning …
challenges in delivering timely and accurate information to clients, particularly concerning …
ClassActionPrediction: A challenging benchmark for legal judgment prediction of class action cases in the US
The research field of Legal Natural Language Processing (NLP) has been very active
recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively …
recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively …
Towards systematic monolingual NLP surveys: GenA of Greek NLP
Natural Language Processing (NLP) research has traditionally been predominantly focused
on English, driven by the availability of resources, the size of the research community, and …
on English, driven by the availability of resources, the size of the research community, and …
Multi-granular legal topic classification on greek legislation
C Papaloukas, I Chalkidis, K Athinaios… - arXiv preprint arXiv …, 2021 - arxiv.org
In this work, we study the task of classifying legal texts written in the Greek language. We
introduce and make publicly available a novel dataset based on Greek legislation …
introduce and make publicly available a novel dataset based on Greek legislation …
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
D Bernsohn, G Semo, Y Vazana, G Hayat… - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we focus on two main tasks, the first for detecting legal violations within
unstructured textual data, and the second for associating these violations with potentially …
unstructured textual data, and the second for associating these violations with potentially …