An Analysis of Acknowledgments in NLP Conference Proceedings

Winston Wu


Abstract
While acknowledgments are often overlooked and sometimes entirely missing from publications, this short section of a paper can provide insights on the state of a field. We characterize and perform a textual analysis of acknowledgments in NLP conference proceedings across the last 17 years, revealing broader trends in funding and research directions in NLP as well as interesting phenomena including career incentives and the influence of defaults.
Anthology ID:
2022.nlpcss-1.17
Volume:
Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
Month:
November
Year:
2022
Address:
Abu Dhabi, UAE
Editors:
David Bamman, Dirk Hovy, David Jurgens, Katherine Keith, Brendan O'Connor, Svitlana Volkova
Venue:
NLP+CSS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
157–163
Language:
URL:
https://aclanthology.org/2022.nlpcss-1.17
DOI:
10.18653/v1/2022.nlpcss-1.17
Bibkey:
Cite (ACL):
Winston Wu. 2022. An Analysis of Acknowledgments in NLP Conference Proceedings. In Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS), pages 157–163, Abu Dhabi, UAE. Association for Computational Linguistics.
Cite (Informal):
An Analysis of Acknowledgments in NLP Conference Proceedings (Wu, NLP+CSS 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl24-info/2022.nlpcss-1.17.pdf
Video:
 https://preview.aclanthology.org/naacl24-info/2022.nlpcss-1.17.mp4