Natural Language Processing · TEE · papers-chapter
2023-12-01 · final · recovered AI paper
Previous examination · complete worked answers
- Q1a · WSD and pronoun resolution
- Q1b · WordNet and its hierarchy
- Q1c · Sentiment feature extraction
- Q1d · Binary, multiclass and multilabel
- Q2a · Text corpus structure and applications
- Q2b · Lesk versus Walker and bank disambiguation
- Q3a · Hobbs algorithm and limitations
- Q3b · Stemming and lemmatization
- Q4a · Lexical and vector semantics
- Q4b · Three-document TF–IDF
- Q5a · Word embeddings and CBOW
- Q5b · HMM tables and given path
- Q6a · Text classification pipeline
- Q6b · VSM, TF and IDF in retrieval