Bias in Word embedding and mitigating through debiasing.
Contributors
- 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.
Resource Asset7/7
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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