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Where do language models fall short in the task of Natural Language Generation?

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Natural Language Generation heavily depends on the purpose, just like how your written communication varies with the purpose. For instance, you will need to apply a lot of creativity while writing a blog post; curation requires that your content and world general knowledge are based on the input document; while reports are mostly templates & use Natural Language Generator to realize the sentences and Natural Language Generator for chatbots requires NLU/intent engines.

To conclude, language models fall short on bringing the purpose into consideration.

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