Advanced NLP Techniques By A Staff Writer / July 11, 2025 Welcome to your Advanced NLP Techniques Level: Expert What is the purpose of word embeddings in NLP? To create one-hot encoded vectors To represent words in continuous vector space for capturing semantic meaning To store word frequency counts To perform syntax parsing None Which architecture is most commonly used in state-of-the-art NLP models? Transformers Recurrent Neural Networks Convolutional Neural Networks Support Vector Machines None What does BERT stand for in NLP? Bidirectional Encoder Representations from Transformers Basic Encoding for Robust Text Bidirectional Extraction of Relevant Texts Best Evaluation for Real-time Text None What is the main advantage of transfer learning in NLP? It eliminates the need for training data It allows pre-trained models to adapt to new tasks with minimal data It requires fewer computing resources It simplifies text classification tasks None Which method improves dialogue generation in conversational AI? Reinforcement Learning Gradient Descent Static Embedding Models K-Means Clustering None Time's up
