Neural Text Generation: A Practical Guide - Stanford University
tion, dialogue response generation, summarization, and other text generation tasks. At a high level, the technique has been to train end-to-end neural network models consisting of an encoder model to produce a hidden representation of the source text, followed by a decoder model to generate the target.
tion, dialogue response generation, summarization, and other text generation tasks. At a high level, the technique has been to train end-to-end neural network models consisting of an encoder model to produce a hidden representation of the source text, followed by a decoder model to generate the target.
target, technique, summarization, decoder model, hidden representation, encoder model, high level, source text, dialogue response generation, other text generation tasks, end neural network models
