Artificial Intelligence Natural Language Processing Natural Language Processing Quiz Quiz NLP Basics Quiz 3 Data AI Admin October 9, 2024 Welcome to the NLP Basics Quiz 3! 🔍In this quiz, you’ll dive deeper into advanced NLP concepts such as Word2Vec, embedding layers, machine translation, and more. Keep your mind sharp, and good luck! ⏰ Time’s Up!Your quiz session has ended, and your answers have been submitted. Let's review your understanding of these advanced NLP concepts! NLP Basics Quiz 3 This is the third quiz in the NLP Basics series, featuring fresh questions about advanced concepts like embeddings, Named Entity Recognition (NER), machine translation, and more. With 10 multiple-choice questions, some of which have more than one correct answer, this quiz will further solidify your understanding of NLP 1 / 10 Which of the following models can be used for machine translation? Transformer models Naive Bayes Sequence-to-sequence models Random Forest 2 / 10 Which of the following are components of a Named Entity Recognition (NER) system? Entity boundaries Named entities Entity categories (like Person, Organization) Parts of speech 3 / 10 What is an embedding layer in deep learning-based NLP models? A layer used for extracting named entities A layer that translates sentences from one language to another A layer that converts categorical data into continuous vectors A layer for performing text summarization 4 / 10 What is a 'corpus' in NLP? A large collection of text data A method for text summarization A model for sentiment analysis A process of converting speech to text 5 / 10 Which type of language model predicts the probability of the next word given the previous sequence of words? N-gram model Transformer model Bag of Words (BoW) model Skip-gram model 6 / 10 What is the purpose of sentence segmentation in NLP? To classify parts of speech in a sentence To divide a paragraph into individual words To extract sentiment from text To break down text into individual sentences 7 / 10 In NLP, what is a 'context window'? A window to visualize linguistic features The space between words in tokenized text The number of surrounding words used to predict the next word in a sequence A technique for removing stop words 8 / 10 In the context of NLP, what is a unigram? A pair of words occurring together in a sequence A collection of sentences in a paragraph Three consecutive words in a sentence A single word or token in a text 9 / 10 What is Word2Vec in NLP? A neural network-based technique to convert words into vectors A method to parse sentences A technique to summarize text data A type of language model used for text generation 10 / 10 Which of the following techniques is used to reduce the dimensionality of text features? Singular Value Decomposition (SVD) Principal Component Analysis (PCA) Convolutional Neural Networks (CNN) Term Frequency-Inverse Document Frequency (TF-IDF) Your score isThe average score is 0% 0% Restart quiz Share this… Whatsapp Linkedin Facebook Twitter Gmail Related Tags: NLP, NLP Basics Quiz, NLP Quiz Continue Reading Previous NLP Basics Quiz 2Next Deep Learning Basics Quiz 2 More Stories Natural Language Processing Quiz Quiz NLP Medium Quiz 5 Pradip Devkar November 7, 2024 Natural Language Processing Quiz Quiz NLP Medium Quiz 4 Pradip Devkar November 7, 2024 Deep Learning Quiz Quiz Deep Learning Expert Quiz 10 Pradip Devkar November 6, 2024 Leave a Reply Cancel replyYou must be logged in to post a comment.
