EACL 2026 - Industry Track — Call for Papers
We invite submissions describing innovations and implementations in all areas of speech and natural language processing technologies and systems that are relevant to real-word applications. The primary focus of this track is on papers that advance the understanding of, and demonstrate the effective handling of, practical issues related to the deployment of language (or speech) processing technologies in real-world use applications, i.e., outside controlled environments such as laboratories, classrooms or experimental crowd-sourced setups. We encourage submissions from both non-profit and for-profit sectors, with the understanding that the end-users of these systems extend beyond the NLP community. Please note that if submissions involve proprietary data, there is no requirement to make this data available.
The EACL 2026 Industry Track provides the opportunity to highlight key insights and new research challenges that arise from the development and deployment of real-world applications using language technologies.
Relevant areas include system design, efficiency, maintainability, and scalability of real-world applications, with topics including (but not limited to):
- Benchmarks and methods for improving latency and efficiency of systems
- Continuous maintenance and improvement of deployed systems
- Efficient methods for training and inference
- Enabling infrastructure for large-scale deployment
- Human-in-the-loop approaches to application development
- Implementation at speed, scale, or low-cost
- System combination
Novel applications and use cases, including but not limited to:
- Best practices, lessons learned, or vision pieces on deploying real-world applications
- Case studies, from design to deployment
- Description of an application or system
- Design of application-relevant datasets
- Development of methods under system constraints (model or data size)
- Novel NLP applications
Methods for deployed systems (alphabetical; including but not limited to):
- Ethics, bias, fairness, and harmlessness
- Interpretability
- Interactive systems
- Offline/online system evaluation methodologies
- Online learning
- Robustness
Important Dates (23:59 AoE)
- Paper submission deadline: 17 November 2025
- Notification of acceptance: 5 January 2026
- Camera-ready due: 19 January 2026
- Main conference (including Industry Track): 24-29 March 2026
Following the ACL and ARR policies, there is no anonymity period requirement. Papers can be posted on arXiv or other online repositories at any time.
Please check the call details at:
https://2026.eacl.org/calls/industry/EACL 2026 Industry Track Chairs:
- Nikolaos Aletras, University of Sheffield
- Gülşen Eryiğit, Istanbul Technical University
- Yevgen Matusevych, University of Groningen
Email: eacl2026-industry@googlegroups.com