Flashcards_NLP_Corrected
(41 cards)
What is the primary goal of NLP?
To improve human-computer and human-human communication.
Which early chatbot is considered a parody on a Rogerian psychoanalyst?
Eliza
What method does Eliza use to generate responses?
Keyword matching and transformation rules.
What did the program PARRY attempt to imitate?
A paranoid schizophrenic.
What does POS tagging help identify in a sentence?
The grammatical roles of words.
What problem does word segmentation (tokenization) address?
Dividing text into meaningful tokens.
Why is ambiguity a challenge in NLP?
Natural languages are ambiguous at lexical, syntactic, and semantic levels.
What kind of grammatical analysis determines the role of words in sentences?
Parsing
What is the major difference between semantic and syntactic analysis?
Semantic analysis interprets meaning; syntactic analysis identifies structure.
What is the purpose of discourse analysis in NLP?
Analyzing how sentences relate within a context.
What does the term ‘tokenization’ mean in NLP?
Dividing text into tokens.
How does sentiment analysis work?
By analyzing sentiment in text.
What is the main challenge in machine translation?
Handling contextual meanings.
What is word embedding in NLP?
Representing words as vectors.
Which model architecture is widely used in NLP tasks today?
Transformers like BERT.
What is the role of a language model in NLP?
Predicting text sequences.
How does NLP handle polysemy?
By using contextual analysis.
What are some challenges in named entity recognition?
Identifying entities in text.
What is the purpose of co-reference resolution in NLP?
Tracking pronoun references.
How do transformers improve NLP tasks?
Using attention mechanisms.
What is dependency parsing?
Analyzing grammatical structures.
What is the BLEU score used for?
Evaluating translation quality.
What is lemmatization?
Finding base forms of words.
How is stemming different from lemmatization?
Stemming is faster but less accurate.
