Natural Language Processing (NLP) has evolved significantly over the last decade. This paper highlights the most important milestones of this period while trying to pinpoint the contribution of each individual model and algorithm to the overall progress. Furthermore, it focuses on issues still remaining to be solved, emphasizing the groundbreaking proposals of Transformers, BERT, and all the similar attention-based models.
@article{arxiv.2104.10213,
title = {Machine Learning Meets Natural Language Processing -- The story so far},
author = {N. -I. Galanis and P. Vafiadis and K. -G. Mirzaev and G. A. Papakostas},
journal= {arXiv preprint arXiv:2104.10213},
year = {2021}
}