Hi Rasa community!
we just published part 2 of our three-piece blog post series in which share our best practices and recommendations how to custom-tailor the Rasa NLU pipeline for your individual contextual AI assistant.
This part is about entity recognition and covers
- Which entity extractor to use for which component
- how tackle common problems: fuzzy entities, extraction of addresses, etc
Read it here: Rasa NLU in Depth: Entity Recognition.
Also check out the other parts of this series:
- Part 1: Intent Recognition: Choose the right classifier for your AI assistant project
- Part 2: Entity Extraction – Choose the right extractor for each entity
- Part 3: Hyperparameters – How to select and optimize them (to be released soon!)
Lets us know what your experiences and recommendations are for the perfect entity recognition with Rasa NLU