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 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 2 / 10 What is a 'corpus' in NLP? A large collection of text data A model for sentiment analysis A process of converting speech to text A method for text summarization 3 / 10 Which of the following models can be used for machine translation? Naive Bayes Transformer models Sequence-to-sequence models Random Forest 4 / 10 Which of the following are components of a Named Entity Recognition (NER) system? Named entities Entity boundaries Parts of speech Entity categories (like Person, Organization) 5 / 10 Which of the following techniques is used to reduce the dimensionality of text features? Convolutional Neural Networks (CNN) Singular Value Decomposition (SVD) Principal Component Analysis (PCA) Term Frequency-Inverse Document Frequency (TF-IDF) 6 / 10 In NLP, what is a 'context window'? The number of surrounding words used to predict the next word in a sequence The space between words in tokenized text A technique for removing stop words A window to visualize linguistic features 7 / 10 What is an embedding layer in deep learning-based NLP models? A layer that converts categorical data into continuous vectors A layer used for extracting named entities A layer that translates sentences from one language to another A layer for performing text summarization 8 / 10 What is the purpose of sentence segmentation in NLP? To divide a paragraph into individual words To break down text into individual sentences To extract sentiment from text To classify parts of speech in a sentence 9 / 10 Which type of language model predicts the probability of the next word given the previous sequence of words? Bag of Words (BoW) model N-gram model Skip-gram model Transformer model 10 / 10 What is Word2Vec in NLP? A method to parse sentences A neural network-based technique to convert words into vectors A technique to summarize text data A type of language model used for text generation Your score isThe average score is 30% 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 Databases Quiz Quiz Databases Medium-level quiz 6 Pradip Devkar October 15, 2024 Artificial Intelligence Deep Learning Gen AI Natural Language Processing Bidirectional LSTMs: Enhanced Text Generation better than LSTM Data AI Admin October 14, 2024 Artificial Intelligence Deep Learning Gen AI Natural Language Processing Text Generation Made Easy with LSTM: A Comprehensive Guide for Beginners Data AI Admin October 14, 2024 Leave a Reply Cancel replyYou must be logged in to post a comment.
