The ACL Anthology: Current State and Future Directions

Daniel Gildea, Min-Yen Kan, Nitin Madnani, Christoph Teichmann, Martín Villalba


Abstract
The Association of Computational Linguistic’s Anthology is the open source archive, and the main source for computational linguistics and natural language processing’s scientific literature. The ACL Anthology is currently maintained exclusively by community volunteers and has to be available and up-to-date at all times. We first discuss the current, open source approach used to achieve this, and then discuss how the planned use of Docker images will improve the Anthology’s long-term stability. This change will make it easier for researchers to utilize Anthology data for experimentation. We believe the ACL community can directly benefit from the extension-friendly architecture of the Anthology. We end by issuing an open challenge of reviewer matching we encourage the community to rally towards.
Anthology ID:
W18-2504
Original:
W18-2504v1
Version 2:
W18-2504v2
Volume:
Proceedings of Workshop for NLP Open Source Software (NLP-OSS)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venues:
ACL | NLPOSS | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
23–28
Language:
URL:
https://aclanthology.org/W18-2504
DOI:
10.18653/v1/W18-2504
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/W18-2504.pdf
Presentation:
 W18-2504.Presentation.pdf
Poster:
 W18-2504.Poster.pdf