Analyzing a Decade of Evolution: Trends in Natural Language Processing

Anonymous

Abstract: Natural Language Processing (NLP) stands at the forefront of the rapidly evolving landscape of Machine Learning, witnessing the emergence and evolution of diverse methodologies over the past decade. This study delves into the dynamic trends within the NLP domain, specifically spanning the years 2010 to 2022, through an empirical analysis of papers presented at conferences hosted by the Association for Computational Linguistics (ACL). Our investigation encompasses an exploration of several key aspects, namely computational trends, research trends and geographic trends. We further investigate the entry cost into NLP, the longevity of hardware and the environmental impact of NLP.

Paper Type: short

Research Area: Ethics, Bias, and Fairness

Contribution Types: Data analysis

Languages Studied: English