Natural Language Processing Study Guide 2026
Everything you need to pass the Natural Language Processing exam in one place: the exam format, every topic to study, real practice questions with explanations, flashcards, and full-length practice tests. Free, no sign-up needed.
📋 Natural Language Processing Exam Format at a Glance
📚 Natural Language Processing Topics to Study (33)
✍️ Sample Natural Language Processing Questions & Answers
1. What is event extraction in information extraction?
Event extraction detects trigger words and fills argument slots (who, did what, to whom, when, where) to build a structured representation of events from unstructured text.
2. Which algorithm is used in the Viterbi decoding process for Hidden Markov Models in NLP?
Viterbi decoding uses dynamic programming to efficiently find the most probable sequence of hidden states in an HMM.
3. What is the copy mechanism in sequence-to-sequence models?
The copy mechanism (pointer networks) lets the model point to and copy source tokens, which is critical for tasks like summarization where proper nouns or rare words should be reproduced exactly.
4. Which loss function is most commonly used for training neural machine translation models?
Cross-entropy loss measures the difference between predicted token probability distributions and the one-hot target distributions during NMT training.
5. What is zero-shot text classification?
Zero-shot classification uses a language model to measure how well a text entails a label description, enabling classification into novel categories without task-specific training.
6. Which formalism is most commonly used to describe constituency grammars in NLP?
Context-free grammars (CFGs) use rewrite rules like S → NP VP and are the standard formalism for constituency parsing.