An Efficient Active Learning Pipeline for Legal Text Classification

15 November 2022

Papers citing "An Efficient Active Learning Pipeline for Legal Text Classification"

5 / 5 papers shown

Title
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges Farid Ariai Gianluca Demartini ELM AILaw VLM 40 4 0 25 Oct 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 44 20 0 01 May 2024
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts Yuta Koreeda Christopher D. Manning AILaw 94 96 0 05 Oct 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015