NLP advanced Quiz 7 > Data AI Revolution

NLP advanced Quiz 7

Test your expertise in Natural Language Processing (NLP) with this comprehensive advanced-level quiz. Dive into topics ranging from word embeddings and transformer architectures to attention mechanisms and evaluation metrics. This quiz is designed for professionals, researchers, and students aiming to strengthen their understanding of modern NLP techniques.

1 / 10

What is Zero-shot learning in NLP?

Training a model with no data

Applying a model to tasks without specific training

Removing noisy data from a dataset

Fine-tuning a pre-trained model

2 / 10

What is the purpose of a language model?

To classify text into categories

To predict the probability of a sequence of words

To identify entities in a text

To translate text between languages

3 / 10

Which of these is a subword tokenization method?

WordPiece

Skip-gram

FastText

Bag of Words

4 / 10

Which NLP task benefits most from Beam Search?

Named Entity Recognition

Text Summarization

Sentiment Analysis

Word Embedding

5 / 10

What is the role of "CLS" token in BERT?

It marks the beginning of a sentence for classification tasks

It separates sentences in sequence tasks

It represents unknown words

It encodes context-free representations

6 / 10

Which algorithm is commonly used for topic modeling?

K-Means

Latent Dirichlet Allocation (LDA)

Word2Vec

PCA

7 / 10

What is perplexity in language modeling?

The probability of generating a sequence

A measure of uncertainty in predictions

The number of words in a sequence

The dimensionality of word embeddings

8 / 10

Which type of embedding uses both global and local context?

Word2Vec

GloVe

FastText

ELMo

9 / 10

In Named Entity Recognition (NER), which entities are typically identified?

Tokens and parts of speech

People, locations, organizations, dates, etc.

Synonyms and antonyms

Semantic roles

10 / 10

Which evaluation metric is most suitable for a sentiment analysis task?

BLEU score

F1 score

Perplexity

Mean Squared Error

Your score is

The average score is 10%

0%

NLP advanced Quiz 7

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