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EMNLP 2023 Call for System Demonstrations
Website: https://2023.emnlp.org/calls/demos/
Submission Deadline: August 6, 2023
Location: Singapore
Contact:
- Yansong Feng, Els Lefever (Demonstration Co-chairs)
- Houda Bouamor, Juan Pino, Kalika Bali (Program Chairs): emnlp-2023-pc@googlegroups.com
- Yuji Matsumoto (General Chair)
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Call for System Demonstrations
The EMNLP 2023 System Demonstration Program Committee invites proposals for the Demonstrations Program. Demonstrations may range from early research prototypes to mature production-ready systems. Of particular interest are publicly available open-source or open-access systems. We additionally strongly encourage demonstrations of industrial systems that are technologically innovative given the current state of the art of theory and applied research in natural language processing. Each submitted demonstration must be accompanied by a submitted paper describing the system.
Papers describing accepted demonstrations will be published in a companion volume of the EMNLP 2023 conference proceedings. Please note: Commercial sales and marketing activities are not appropriate in the Demonstrations Program and should be arranged as part of the Exhibit Program.
Best Demo Award
As in previous years, EMNLP 2023’s demo track will feature a Best Demo Award. The award is for the best demo, and not for the best paper. That is to say, it will be judged by a committee who actually interacts with the demo.
Multiple Submission Policy
We follow the Multiple Submission Policy of the EMNLP 2023 main conference. The paper cannot be submitted elsewhere, while in review at EMNLP 2023.
=== Important Dates ===
Paper submission deadline: August 6, 2023
Notification of acceptance: September 25, 2023
Camera ready submission: October 15, 2023
All deadlines are 11:59PM UTC-12h (“anywhere on Earth”).
=== Submission Topics ===
Areas of interest include all topics related to theoretical and applied natural language processing, such as (but not limited to) the topics listed on the main conference website.
We especially welcome systems for model analysis and interpretation.
Submitted systems may be of the following types:
- Natural language processing systems or system components
- Application systems using language technology components
- Software tools for natural language processing research
- Software for demonstration or evaluation
- Software supporting learning or education
- Tools for data visualization and annotation
- Tools for model inspection
- Development tools
For detailed submission information, please refer to our webpage: https://2023.emnlp.org/calls/demos/