Understanding Rasa Algorithm Whiteboard Lexical Ambiguity
Let's dive into the details surrounding Rasa Algorithm Whiteboard Lexical Ambiguity. NLP models aren't perfect and a lot of models fall short in similar ways. The bag of words assumption is a big issue even with ...
Key Takeaways about Rasa Algorithm Whiteboard Lexical Ambiguity
- In this video we'll explore the idea of subword embeddings by having a look at fasttext. We'll discuss how subword embeddings ...
- This is the first video on attention mechanisms. We'll start with self attention and end with transformers. We're going at it step by ...
- In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...
- Word Embeddings have a bias issue. In this video we'll explore what this means by looking at gender bias. We will try to find a ...
- In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ...
Detailed Analysis of Rasa Algorithm Whiteboard Lexical Ambiguity
In this video we'd like to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ... In this video we highlight how you might construct a neural network that can handle subword embeddings.
In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ...
That wraps up our extensive overview of Rasa Algorithm Whiteboard Lexical Ambiguity.