The Industry Day will take place on 14th May, 2026 in Palma, Mallorca (Spain).
The objective of the Industry Day is to:
- provide a unique forum for researchers, industry players, and funding agencies from across a wide spectrum of areas to discuss challenges, achievements and synergies,
- bridge the gap between academic research and real-world industry practices, including resource development and evaluation methodologies,
- provide a networking platform for conference participants, experts, and professionals to foster international collaborations,
- connect researchers and industry leaders in order to identify employment or internship opportunities.
The events of the day will include:
- presentations by industry participants on their applications and innovation in the field of AI, NLP, and Speech processing,
- a panel session where participants will gain insights on both challenges and initiatives that relate to today’s AI advancements,
- a networking lunch with a student poster session.
Topics of interest include:
Language Resource Development
- Methods and tools for mono- and multi-lingual language resource development and annotation
- Knowledge discovery/representation (knowledge graphs, linked data, terminologies, lexicons, ontologies, etc.)
- Resource development for less-resourced/endangered languages
- Guidelines, standards, best practices, and models for interoperability
Language Resource Use
- Use of language resources in systems and applications for any area of language and speech processing
- Use of language resources in assistive technologies, support for accessibility
- Efficient/low-resource methods for language and speech processing
Evaluation
- Methodologies and protocols for evaluation and benchmarking of language technologies
- Measures for validation of language resources and quality assurance
- Usability of user interfaces and dialogue systems
- Bias, safety, and user satisfaction metrics
- Interpretability/explainability of language models and language and speech processing tools
Language Resources and Large Language Models
- Language resource development for LLMs (monolingual, multilingual, multimodal)
- (Semi-)automatic generation of training data
- Training, fine-tuning, adaptation, alignment, and representation learning
- Guardrails, filters, and modules for generative AI models
Policy and Organizational Considerations
- International and national activities, projects, initiatives, and policies
- Language coverage and diversity
- Replicability and reproducibility
- Organisational, economic, ethical, climate, and legal issues
Proposal Format
Please submit your abstract proposal via the following form
https://forms.gle/CQTBLcMxuL1cjmUf7
Applications require an abstract of 150-200 words along with a short bio.
Submission Deadline: February 16, 2024
Notification of acceptance: March 13, 2024
For more information, please send an email to lrec2026-industry-track-chairs@googlegroups.com referring to LREC 2026 Industry Day in the subject line.
Industry Chairs
- Natalie Schluter, Apple and IT University of Copenhagen
- Teresa Lynn, Mohamed bin Zayed University of Artificial Intelligence