Media Summary: In this video, we will explore pre-trained spaCy models and use them to In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. What might an assistant do if it sees a text from a language that it isn't trained on? It might make assumptions because it's unlike ...
Rasa Algorithm Whiteboard Detecting Names - Detailed Analysis & Overview
In this video, we will explore pre-trained spaCy models and use them to In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. What might an assistant do if it sees a text from a language that it isn't trained on? It might make assumptions because it's unlike ... Countvectors are still an unsung hero in natural language processing. This is especially true in In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... Bad labels make your benchmarks unreliable, so how might we find some? In this video, we'll try out one trick and we'll see if it ...
This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... This video is a bit ... different. We'll be exploring a trick that sounds like it might work, but we can only confirm it by receiving ... In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ... You might have heard about the `king - man + woman = queen` analogy. In this video we'll dive into the phenomenon of ... In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ... When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a fallback ...
