Discovering types for entity disambiguation
Analysis
The article describes a system developed by OpenAI for entity disambiguation. The core idea is to use a neural network to classify words into automatically discovered types. This approach aims to resolve ambiguity by categorizing words into non-exclusive categories.
Key Takeaways
- •OpenAI developed a system for entity disambiguation.
- •The system uses a neural network.
- •The system classifies words into automatically discovered types.
- •The types are non-exclusive categories.
Reference
“We’ve built a system for automatically figuring out which object is meant by a word by having a neural network decide if the word belongs to each of about 100 automatically-discovered “types” (non-exclusive categories).”