Word representations
To process words using neural networks, we need to represent them as vectors of numbers. In this unit you will learn different methods for learning these representations from data. The unit also introduces the idea of subword representations, and in particular character-level representations, which can be learned using convolutional neural networks.
Video lectures
Reading
- Eisenstein (2019), chapter 14
- Research article: Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes