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 are components of a Named Entity Recognition (NER) system? Entity categories (like Person, Organization) Parts of speech Entity boundaries Named entities 2 / 10 In the context of NLP, what is a unigram? A pair of words occurring together in a sequence Three consecutive words in a sentence A single word or token in a text A collection of sentences in a paragraph 3 / 10 What is Word2Vec in NLP? A method to parse sentences A neural network-based technique to convert words into vectors A type of language model used for text generation A technique to summarize text data 4 / 10 Which of the following models can be used for machine translation? Sequence-to-sequence models Transformer models Random Forest Naive Bayes 5 / 10 What is an embedding layer in deep learning-based NLP models? A layer used for extracting named entities A layer that converts categorical data into continuous vectors A layer that translates sentences from one language to another A layer for performing text summarization 6 / 10 What is the purpose of sentence segmentation in NLP? To break down text into individual sentences To divide a paragraph into individual words To extract sentiment from text To classify parts of speech in a sentence 7 / 10 Which of the following techniques is used to reduce the dimensionality of text features? Term Frequency-Inverse Document Frequency (TF-IDF) Convolutional Neural Networks (CNN) Principal Component Analysis (PCA) Singular Value Decomposition (SVD) 8 / 10 In NLP, what is a 'context window'? The number of surrounding words used to predict the next word in a sequence A window to visualize linguistic features A technique for removing stop words The space between words in tokenized text 9 / 10 What is a 'corpus' in NLP? A model for sentiment analysis A method for text summarization A large collection of text data A process of converting speech to text 10 / 10 Which type of language model predicts the probability of the next word given the previous sequence of words? Skip-gram model Bag of Words (BoW) model N-gram model Transformer model 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 Artificial Intelligence Deep Learning Gen AI Machine Learning Natural Language Processing Projects Technology DriveXpert AI Assistant : Users quickly solve their car-related queries balugorad January 15, 2025 Artificial Intelligence Open Source vs Paid Large Language Models (LLMs): A Strategic Comparison balugorad January 15, 2025 Artificial Intelligence Deep Learning Gen AI Vector Databases: A Key Component in Modern AI and Data Science balugorad January 9, 2025 Leave a Reply Cancel replyYou must be logged in to post a comment.
