NLP4NLP+5: The Deep (R)evolution in Speech and Language Processing

Abstract

This paper aims at analyzing the changes in the fields of speech and natural language processing over the recent past 5 years (2016–2020). It is in continuation of a series of two papers that we published in 2019 on the analysis of the NLP4NLP corpus, which contained articles published in 34 major conferences and journals in the field of speech and natural language processing, over a period of 50 years (1965–2015), and analyzed with the methods developed in the field of NLP, hence its name. The extended NLP4NLP+5 corpus now covers 55 years, comprising close to 90,000 documents [+30% compared with NLP4NLP: as many articles have been published in the single year 2020 than over the first 25 years (1965–1989)], 67,000 authors (+40%), 590,000 references (+80%), and approximately 380 million words (+40%). These analyses are conducted globally or comparatively among sources and also with the general scientific literature, with a focus on the past 5 years. It concludes in identifying profound changes in research topics as well as in the emergence of a new generation of authors and the appearance of new publications around artificial intelligence, neural networks, machine learning, and word embedding.

Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)

“…More recently, the NLP4NLP corpus (Mariani et al, 2019a) incorporates data from the ACL Anthology as part of a dataset of articles in "speech and natural language processing over a period of 50 years ," which Mariani et al (2022) extend to cover publications until 2020. The NLP Scholar project combines data from the ACL Anthology and Google Scholar in a new dataset (Mohammad, 2020b) and an associated visual exploration tool (Mohammad, 2020c).…”

Two Decades of the ACL Anthology: Development, Impact, and Open Challenges

“…More recently, the NLP4NLP corpus (Mariani et al, 2019a) incorporates data from the ACL Anthology as part of a dataset of articles in "speech and natural language processing over a period of 50 years ," which Mariani et al (2022) extend to cover publications until 2020. The NLP Scholar project combines data from the ACL Anthology and Google Scholar in a new dataset (Mohammad, 2020b) and an associated visual exploration tool (Mohammad, 2020c).…”