Please use this identifier to cite or link to this item: https://doi.org/10.18653/v1/W18-2504
Title: The ACL Anthology: Current State and Future Directions
Authors: Daniel Gildea
Min-Yen Kan 
Nitin Madnani
Christoph Teichmann
Martín Villalba
Issue Date: 2018
Publisher: Association for Computational Linguistics
Citation: Daniel Gildea, Min-Yen Kan, Nitin Madnani, Christoph Teichmann, Martín Villalba (2018). The ACL Anthology: Current State and Future Directions. Workshop for Natural Language Processing Open Source Software (NLP-OSS 2018) : 23-28. ScholarBank@NUS Repository. https://doi.org/10.18653/v1/W18-2504
Rights: Attribution 4.0 International
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.
Source Title: Workshop for Natural Language Processing Open Source Software (NLP-OSS 2018)
URI: https://scholarbank.nus.edu.sg/handle/10635/172415
DOI: 10.18653/v1/W18-2504
Rights: Attribution 4.0 International
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