What ends the encoding process on an RNN?
What is END symbol?
What is the process for getting computers to deal with human language?
What did the NPLs struggle with in the “hamburger in the restaurant” anecdote?
What is context or contextual understanding?
What does the coordinates of a particular word in semantic space refer to?
What is the classification of the positive/ negative emotion or tone of a text input?
What is sentiment classification?
What was the first major success for Natural Language Processors?
What is automated speech recognition?
What is defining the meaning of a word based on other words its typically grouped with (ie Humor and Laughing) called?
What is Distributional Semantics?
What is the encoding process where at each time step, only one input neuron - the one corresponding to the actual input word - is active/high?
What is one-hot encoding?
What type of neural network was inspired by the sequential process of reading a sentence?
What are Recurrent Neural Networks?
This Kind of neural network groups words in pairs and forms “word vectors” to formulate outputs
What is Word2Vec Model?
Mitchell warns that word-vectors can pick up these unwanted patterns from training data, resulting in things like “doctor–male :: nurse–female”—what are these called?
What are biases in word embedding?
What does Mitchell correspond the last 10% of speech recognition to?
What is understanding?