NLP and big data

Position research on real-world NLP applications in enterprise big data environments—NLPD 2026's dual focus makes this ideal for showcasing how language models integrate with large-scale data infrastructure rather than theoretical contributions alone

Highlight work addressing practical challenges at the NLP-big data intersection, such as handling multilingual datasets at scale or optimizing model inference costs across distributed systems—topics that attract the applied research audience this conference draws

Frame submission around reproducibility and implementation details from actual deployments, since a conference combining both domains typically values practitioners and researchers who can bridge industry adoption gaps, not just methodology papers