# 2024-12-03 · final · recovered AI paper

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/papers/legacy-f24

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/papers-chapter/legacy-f24/

Previous examination · complete worked answers

1. [Q1a · TF–IDF in retrieval](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q1a/)
2. [Q1b · NER and approaches](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q1b/)
3. [Q1c · Skip-gram and CBOW](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q1c/)
4. [Q1d · Pragmatics and discourse](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q1d/)
5. [Q2a · Six preprocessing operations](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q2a/)
6. [Q2b · Lexical similarity and cosine](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q2b/)
7. [Q2c · Animal categorical Naive Bayes](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q2c/)
8. [Q3a · Hobbs and ambiguous professor–student reference](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q3a/)
9. [Q3b · Classification and sentiment in industry](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q3b/)
10. [Q4a · Top-down syntax tree](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q4a/)
11. [Q4b · Data acquisition and four augmentation methods](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q4b/)
12. [Q5a · Feature engineering, BoW and Euclidean](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q5a/)
13. [Q5b · WSD approaches and uses](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q5b/)
14. [Q5c · Discourse analysis of a conversation](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q5c/)
15. [Q6a · Henry bigram continuations](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q6a/)
16. [Q6b · Five linguistic levels](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q6b/)
17. [Q6c · NLU and NLG working together](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q6c/)
18. [Q7a · POS, chunks and boundary-aware HMM](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q7a/)
19. [Q7b · Co-occurrence, dot products and plot](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-f24--q7b/)