Covers: theory of Word Embedding
Estimated time needed to finish: 23 minutes
Questions this item addresses:
  • What are the available word embedding models?
How to use this item?

Read full medium article. It has very good flow chart linking static and dynamic word embedding. Very useful to understand the concept.

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Bias in Word embedding and mitigating through debiasing.

Contributors
Total time needed: ~2 hours
Objectives
Learn types of word embeddings and danger of amplifying inherent bias in data and algorithms.
Potential Use Cases
It is important to learn bias in word embedding o develop more ethical and debiased NLP application.
Who is This For ?
BEGINNERData Scientist new to NLP
Click on each of the following annotated items to see details.
ARTICLE 1. Word Embedding in NLP
  • What is word embedding?
10 minutes
ARTICLE 2. Static and Dynamic pre-trained Word Embedding
  • What are the available word embedding models?
23 minutes
ARTICLE 3. Types of bias in word embedding
  • What are the biases in word embedding?
10 minutes
ARTICLE 4. Measuring. Bias in word embedding
  • how to measure bias in word embedding ?
10 minutes
ARTICLE 5. Reviewed methods to measure and remove bias from word embedding.
  • How to identify bias in pretrained word embedding?
15 minutes
PAPER 6. Recent debiasing methods review
  • How to debias pretrained word embedding?
15 minutes
REPO 7. Implementing debiasing method
  • How to do debiasing of word embedding?
10 minutes

Concepts Covered

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