Following a survey of the Interspeech conference presented for the 25th anniversary of
ESCA/ISCA at Interspeech 2013, the NLP4NLP corpus was gathered for conducting an analysis
of the main conferences and journals in the field of speech and language processing over
50 years (1965-2015). The results of this analysis was published in 2019 as a series of
two papers in a special issue on 'Mining Scientific Papers: NLP-enhanced Bibliometrics'
of the 'Frontiers in Research Metrics and Analytics' journal, which attracted a large
audience:

https://www.frontiersin.org/articles/10.3389/frma.2018.00036/full

https://www.frontiersin.org/articles/10.3389/frma.2018.00037/full

This corpus has now been extended over the recent past 5 years (2016–2020), which show a
strong activity in that field: as many articles have been published in the single year
2020 than over the first 25 years of NLP4NLP for example. This new analysis 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. These results have
just been published in a second special issue on 'Knowledge Discovery and Data
Exploitation' of the 'Frontiers in Research Metrics and Analytics' journal:

https://www.frontiersin.org/articles/10.3389/frma.2022.863126/full