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Explore how The Guardian built machine learning models to extract structured data from unstructured recipe articles in this 43-minute conference talk by Anna Vissens. Discover the technical challenges of working with diverse and inconsistent text data while learning about the techniques used to train models for ingredient recognition and categorization. Understand how the team balanced automation with editorial input to launch FEAST, The Guardian's new recipe application. Gain practical insights into applying natural language processing and machine learning for real-world content applications, including the impact these models have on user experience and content discovery. Learn how recipes can be transformed from simple ingredient lists into structured data that powers innovative applications, with a focus on high-level overview and strategic implementation approaches.
