# 2022-11-22 · final · recovered AI paper

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/papers/legacy-f22

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/papers-chapter/legacy-f22/

Previous examination · complete worked answers

1. [Q1a · Need and difficulties of NLP](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q1a/)
2. [Q1b · Levels of language analysis](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q1b/)
3. [Q1c · Medical chatbot](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q1c/)
4. [Q1d · Sentiment with logistic regression](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q1d/)
5. [Q2a · CBOW and Skip-gram architecture](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q2a/)
6. [Q2b · Seven regex constructions](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q2b/)
7. [Q3a · Text preprocessing](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q3a/)
8. [Q3b · Penn Treebank tagging](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q3b/)
9. [Q4a · Mention-pair coreference](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q4a/)
10. [Q4b · Text classification pipeline](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q4b/)
11. [Q5a · Corpora and structure](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q5a/)
12. [Q5b · Multinomial Naive Bayes](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q5b/)
13. [Q6a · GloVe](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q6a/)
14. [Q6b · BoW and TF–IDF movie corpus](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q6b/)
15. [Q7a · Information extraction, chunking and NER](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q7a/)
16. [Q7b · Distributional hypothesis and cosine](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f22--q7b/)