# WSD: Lesk & Naive Bayes

Subject: Natural Language Processing

Exam: M2

Reader: https://deep-learning-study-room.vercel.app/nlp/#m2/formulas/f-wsd

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/m2/formulas-chapter/f-wsd/

Formulas explained through full worked examples

1. [Lesk algorithm, from words to overlap scores](https://deep-learning-study-room.vercel.app/read/nlp/m2/formulas/f-wsd--u5-lesk/)
2. [Thesaurus / Walker approach, with three complete examples](https://deep-learning-study-room.vercel.app/read/nlp/m2/formulas/f-wsd--u5-walker/)
3. [Multinomial Naive Bayes: the exact solving method](https://deep-learning-study-room.vercel.app/read/nlp/m2/formulas/f-wsd--u5-bayes-steps/)
4. [Mam's bank numerical—every count and every multiplication](https://deep-learning-study-room.vercel.app/read/nlp/m2/formulas/f-wsd--u5-bayes-mam/)
5. [More WSD numericals: given likelihoods, unequal priors and repeated clues](https://deep-learning-study-room.vercel.app/read/nlp/m2/formulas/f-wsd--u5-bayes-practice/)