Covers: theory of Word Embedding
Estimated time needed to finish: 10 minutes
Questions this item addresses:
  • What is word embedding?
How to use this item?

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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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