Neural Language Generation: Formulation, Methods, and Evaluation

Cristina Garbacea
Cristina Garbacea
Cited by: 0|Bibtex|Views52
Other Links: arxiv.org

Abstract:

Recent advances in neural network-based generative modeling have reignited the hopes in having computer systems capable of seamlessly conversing with humans and able to understand natural language. Neural architectures have been employed to generate text excerpts to various degrees of success, in a multitude of contexts and tasks that f...More

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