Legal judgment prediction via relational learning

Q Dong, S Niu - Proceedings of the 44th International ACM SIGIR …, 2021 - dl.acm.org
Given a legal case and all law articles, L egal J udgment P rediction (LJP) is to predict the
case's violated articles, charges and term of penalty. Naturally, these labels are entangled …

Cjrc: A reliable human-annotated benchmark dataset for chinese judicial reading comprehension

X Duan, B Wang, Z Wang, W Ma, Y Cui, D Wu… - … Linguistics: 18th China …, 2019 - Springer
We present a Chinese judicial reading comprehension (CJRC) dataset which contains
approximately 10K documents and almost 50K questions with answers. The documents …

[HTML][HTML] TaSbeeb: A judicial decision support system based on deep learning framework

HA Almuzaini, AM Azmi - Journal of King Saud University-Computer and …, 2023 - Elsevier
Since the early 1980s, the legal domain has shown a growing interest in Artificial
Intelligence approaches to tackle the increasing number of cases worldwide. TaSbeeb is a …

Cail2019-scm: A dataset of similar case matching in legal domain

C Xiao, H Zhong, Z Guo, C Tu, Z Liu, M Sun… - arXiv preprint arXiv …, 2019 - arxiv.org
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case
Matching dataset. CAIL2019-SCM contains 8,964 triplets of cases published by the …

Semantic segmentation of legal documents via rhetorical roles

V Malik, R Sanjay, SK Guha, A Hazarika… - arXiv preprint arXiv …, 2021 - arxiv.org
Legal documents are unstructured, use legal jargon, and have considerable length, making
them difficult to process automatically via conventional text processing techniques. A legal …

Continual training of language models for few-shot learning

Z Ke, H Lin, Y Shao, H Xu, L Shu, B Liu - arXiv preprint arXiv:2210.05549, 2022 - arxiv.org
Recent work on applying large language models (LMs) achieves impressive performance in
many NLP applications. Adapting or posttraining an LM using an unlabeled domain corpus …

On-device indoor positioning: A federated reinforcement learning approach with heterogeneous devices

F Dou, J Lu, T Zhu, J Bi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The widespread deployment of machine learning techniques in ubiquitous computing
environments has sparked interests in exploiting the vast amount of data stored on mobile …

LAiW: A Chinese legal large language models benchmark (a technical report)

Y Dai, D Feng, J Huang, H Jia, Q Xie, Y Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
With the emergence of numerous legal LLMs, there is currently a lack of a comprehensive
benchmark for evaluating their legal abilities. In this paper, we propose the first Chinese …

Few-shot learning for facial expression recognition: a comprehensive survey

CL Kim, BG Kim - Journal of Real-Time Image Processing, 2023 - Springer
Facial expression recognition (FER) is utilized in various fields that analyze facial
expressions. FER is attracting increasing attention for its role in improving the convenience …

ClassActionPrediction: A challenging benchmark for legal judgment prediction of class action cases in the US

G Semo, D Bernsohn, B Hagag, G Hayat… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …