The AI & Language track includes researchers and engineers at top tech companies, research groups and startups using machine learning for language tasks and features four major themes.

Representations, interpretability & visualisation

Representations and interpretability are especially challenging for language tasks because language is sparse and, unlike with vision, there are no inherently visualisable intermediate representations. Representations, interpretability, evaluation and confidence are intriguing open research questions.

Engineering & Tools

The tools and datasets for building and deploying natural language processing systems are evolving, while online learning pipelines introduce new demands. We will hear from engineering teams behind highly scaled systems on their stacks and processes.

Machine translation

This seminal task, which combines the challenges of natural language understanding, natural language generation and multi-lingual methods, has inspired new approaches like sequence-to-sequence models and attention mechanisms.

Products & Startups

The progress in research and engineering has born a wave of startups competing with the established players. Founders of top startups in the space will share how they are building growing platforms and businesses around speech, translation and conversation.