A survey of the usages of deep learning for natural language processing

DW Otter, JR Medina, JK Kalita - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
Over the last several years, the field of natural language processing has been propelled
forward by an explosion in the use of deep learning models. This article provides a brief …

A survey on deep active learning: Recent advances and new frontiers

D Li, Z Wang, Y Chen, R Jiang, W Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Active learning seeks to achieve strong performance with fewer training samples. It does this
by iteratively asking an oracle to label newly selected samples in a human-in-the-loop …

A survey of active learning for natural language processing

Z Zhang, E Strubell, E Hovy - ar** and fine-tuning semantic parsers
are still a tedious process with challenges such as costly data annotation and privacy risks …

Efficient argument structure extraction with transfer learning and active learning

X Hua, L Wang - arxiv preprint arxiv:2204.00707, 2022 - arxiv.org
The automation of extracting argument structures faces a pair of challenges on (1) encoding
long-term contexts to facilitate comprehensive understanding, and (2) improving data …