Transformer-based Text Generation

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Source arXiv

Machine Learning

Computation and Language

Transformer-based Text Generation

Modern Methods for Text Generation

Synthetic text generation is challenging and has limited success.

Recently, a new architecture, called transformers, allow machine learning models tounderstand better sequential data, such as translation or summarization.

We analyse both algorithms and compare their output quality in text generation tasks such as text classification, translation and nli tasks.

Keywords : text generation, text classification, translation, summarization, transformers, output quality.

Authors

Dimas Munoz Montesinos

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