# 2025-02-21 · re-exam · recovered AI paper

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/papers/legacy-r25

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/papers-chapter/legacy-r25/

Previous examination · complete worked answers

1. [Q1a · BoW and one-hot encoding](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q1a/)
2. [Q1b · Lesk WSD](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q1b/)
3. [Q1c · Syntax parsing approaches](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q1c/)
4. [Q1d · NLU versus NLG and applications](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q1d/)
5. [Q2a · TF–IDF cosine after a fixed stoplist](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q2a/)
6. [Q2b · Weather Naive Bayes](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q2b/)
7. [Q3a · Coreference and anaphora](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q3a/)
8. [Q3b · Cohesion, coherence and discourse markers](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q3b/)
9. [Q3c · Question answering system](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q3c/)
10. [Q4a · NLP pipeline](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q4a/)
11. [Q4b · Morphology and syntax](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q4b/)
12. [Q4c · Most probable bigram continuations](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q4c/)
13. [Q5a · Preprocess the NLP passage](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q5a/)
14. [Q5b · Stemming and lemmatization tools](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q5b/)
15. [Q5c · Hobbs on John and Mary](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q5c/)
16. [Q6a · Corpora and acquisition](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q6a/)
17. [Q6b · HMM components and estimates](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q6b/)
18. [Q7a · Word classes, chunking and chinking](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q7a/)
19. [Q7b · Named entity recognition](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q7b/)
20. [Q7c · Co-occurrence with inconsistent requested comparisons](https://deep-learning-study-room.vercel.app/read/nlp/tee/papers/legacy-r25--q7c/)