Custom SpaCy 3.0 models in Rasa
In this guide, we're going to bootstrap a spaCy 3.0 project and show you how you can integrate it with Rasa. We will train an entity detector and demonstrate how to use the new spaCy projects feature.…
Exploring Semantic Map Embeddings / Part II
In this second part of our series on semantic maps, we show how to create them and see how they perform as featurizers for DIET.…
Introducing Entity Roles and Groups
At a fundamental level, natural language understanding (NLU) does two things: it identifies the goal or meaning of the text and extracts key pieces of information…
Rasa NLU in Depth: Part 2 – Entity Recognition
Part 2 of our Rasa NLU in Depth series covers entity recognition. We will explain which components you should use for which type of entity and how to tackle common problems like fuzzy entities.…