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
- Venue:
- NLPOSS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 23–28
- Language:
- URL:
- https://aclanthology.org/W18-2504
- DOI:
- 10.18653/v1/W18-2504
- Cite (ACL):
- Daniel Gildea, Min-Yen Kan, Nitin Madnani, Christoph Teichmann, and Martín Villalba. 2018. The ACL Anthology: Current State and Future Directions. In Proceedings of Workshop for NLP Open Source Software (NLP-OSS), pages 23–28, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- The ACL Anthology: Current State and Future Directions (Gildea et al., NLPOSS 2018)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/W18-2504.pdf