Overview
The ACL 2020 System Demonstration Program Committee is calling for proposals for its Demonstrations Program. This initiative is designed to showcase a variety of systems, from early research prototypes to fully developed production-ready solutions. A particular emphasis is placed on publicly available open-source or open-access systems, as well as innovative industrial systems that reflect advancements in computational linguistics.
Background & Relevance
Computational linguistics is a dynamic field that intersects with natural language processing (NLP), software development, and educational technologies. The significance of this call lies in its potential to highlight cutting-edge tools and systems that can enhance research and application in these areas. By encouraging demonstrations of both theoretical and applied systems, the program aims to foster collaboration and innovation within the AI and ML communities.
Key Details
- Submission Deadline: January 31, 2020
- Notification of Acceptance: April 3, 2020
- Camera-Ready Submission: April 24, 2020
- Location: Not specified
- Submission Link: Softconf START
- Format: PDF, up to 6 pages plus unlimited references
- Style Guidelines: ACL 2020 Style Guidelines
Eligibility & Participation
This call is open to researchers and developers working in the field of computational linguistics. It targets those who have developed systems that can contribute to the understanding and advancement of language technologies. The program encourages submissions that are innovative and relevant to current research trends.
Submission or Application Guidelines
Submissions should be made electronically via the Softconf START conference management system. Authors must ensure their papers adhere to the official style guidelines of ACL 2020. The review process will be single-blind, allowing authors to include their names and affiliations in their submissions. Additionally, authors are encouraged to provide a demo preview link or a short screencast video to facilitate evaluation.
Additional Context / Real-World Relevance
The emphasis on open-source and publicly available systems aligns with broader trends in AI and ML, where transparency and accessibility are increasingly valued. Demonstrating systems that are innovative and user-friendly can significantly impact the field, promoting further research and development in computational linguistics and related areas.
Conclusion
The ACL 2020 System Demonstration Program presents a valuable opportunity for researchers and developers to showcase their work in computational linguistics. Interested parties are encouraged to prepare their submissions and contribute to the advancement of this vital field. For more information, please refer to the provided links and guidelines.
Category: CFP & Deadlines
Tags: computational-linguistics, natural-language-processing, acl-2020, software-tools, data-visualization, open-source, demo-award
