Papers with Content Transfer

1 papers
Towards Content Transfer through Grounded Text Generation (N19-1)

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Challenge: Recent work in neural natural language generation has attracted significant interest in controlling the form of text, such as style, persona, and wordiness.
Approach: They propose a task where the task is to generate a next sentence in a document that fits its context and is grounded in . external textual source such as a news story.
Outcome: The proposed task is based on 640k Wikipedia referenced sentences paired with the source articles to show significant improvements against baselines.

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