Papers with predicting missing spans of text

1 papers
Enabling Language Models to Fill in the Blanks (2020.acl-main)

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Challenge: Infilling is the task of predicting missing spans of text at any position in a document.
Approach: They propose a framework which can be used to infill entire sentences . they train off-the-shelf LMs on sequences containing concatenation of masked text .
Outcome: The proposed approach can infill entire sentences on short stories, scientific abstracts, and lyrics.

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