Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches
Author:
Affiliation:
1. Department of Information Science, University of North Texas, Denton, TX, USA
2. Department of Mathematics, University of North Texas, Denton, TX, USA
Funder
NSF
NSA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality
Link
https://ieeexplore.ieee.org/ielam/24/9787285/9741798-aam.pdf
Reference91 articles.
1. A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction
2. Automatic labeling of data for transfer learning;dube;Conf Comput Vis Pattern Recognit,0
3. Support vector machine active learning with applications to text classification;tong;J Mach Learn Res,2001
4. CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models
5. Language models are few-shot learners;brown;CoRR,2021
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