Natural Language Processing · TEE · papers-chapter
2024-12-03 · final · recovered AI paper
Previous examination · complete worked answers
- Q1a · TF–IDF in retrieval
- Q1b · NER and approaches
- Q1c · Skip-gram and CBOW
- Q1d · Pragmatics and discourse
- Q2a · Six preprocessing operations
- Q2b · Lexical similarity and cosine
- Q2c · Animal categorical Naive Bayes
- Q3a · Hobbs and ambiguous professor–student reference
- Q3b · Classification and sentiment in industry
- Q4a · Top-down syntax tree
- Q4b · Data acquisition and four augmentation methods
- Q5a · Feature engineering, BoW and Euclidean
- Q5b · WSD approaches and uses
- Q5c · Discourse analysis of a conversation
- Q6a · Henry bigram continuations
- Q6b · Five linguistic levels
- Q6c · NLU and NLG working together
- Q7a · POS, chunks and boundary-aware HMM
- Q7b · Co-occurrence, dot products and plot