Natural Language Processing Quiz Quiz NLP Medium Quiz 4 Pradip Devkar November 7, 2024 These questions cover a range of intermediate topics in NLP and should be useful for testing understanding of core concepts and current NLP technologies NLP Medium Quiz 4 These questions cover a range of intermediate topics in NLP and should be useful for testing understanding of core concepts and current NLP technologies 1 / 10 In NLP, which model can handle variable-length input sequences without being limited to a fixed-length input? Convolutional Neural Network (CNN) Recurrent Neural Network (RNN) Linear Regression Model Decision Tree Model 2 / 10 Which of the following describes "Named Entity Recognition" (NER)? Detecting parts of speech in a sentence Recognizing and categorizing specific entities like names, places, and dates Tokenizing words in a sentence Translating text from one language to another 3 / 10 What does "attention" refer to in NLP models? Assigning weights to different parts of input data based on importance Removing unnecessary parts of text data Detecting emotions within text Predicting the next word in a sentence 4 / 10 Which of the following is used to generate embeddings that consider the sequence of words in a sentence? Word2Vec Skip-gram BERT One-hot encoding 5 / 10 Which technique does BERT use to process text bidirectionally? Self-attention mechanism Recurrent connections Convolutional layers Backpropagation 6 / 10 What is the primary function of a recurrent neural network (RNN) in NLP? To capture long-term dependencies in sequential data To perform clustering on text data To generate static word embeddings To classify text documents 7 / 10 In sentiment analysis, which of the following techniques is often used to identify positive or negative polarity? POS Tagging Named Entity Recognition (NER) Sentiment Lexicon Analysis Dependency Parsing 8 / 10 What is the main purpose of stemming in NLP? To remove punctuation from text To convert words to their root form To assign sentiment to words To increase word frequency 9 / 10 Which language model introduced the concept of the Transformer architecture? Word2Vec BERT GPT Elmo 10 / 10 In word embeddings, what does "contextualized word embedding" mean? Each word has a single fixed vector representation. Words have multiple vector representations based on their context. Word embeddings are calculated using TF-IDF. It combines two words into one embedding. Your score isThe average score is 0% 0% Restart quiz Share this… Whatsapp Linkedin Facebook Twitter Gmail Related Tags: #NLP Quiz, #Quiz Continue Reading Previous Deep Learning Expert Quiz 10Next NLP Medium Quiz 5 More Stories Natural Language Processing Quiz Quiz NLP Medium Quiz 5 Pradip Devkar November 7, 2024 Deep Learning Quiz Quiz Deep Learning Expert Quiz 10 Pradip Devkar November 6, 2024 Deep Learning Quiz Quiz Deep Learning Expert Quiz 9 Pradip Devkar November 6, 2024 Leave a Reply Cancel replyYou must be logged in to post a comment.
