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Text Infilling

Text Infilling is the task of predicting missing spans of text which are consistent with the preceding and subsequent text. Text Infilling is a generalization of the cloze task—cloze historically refers to infilling individual words.

Source: Enabling Language Models to Fill in the Blanks

Papers

Showing 3140 of 43 papers

TitleStatusHype
Predicting scalar diversity with context-driven uncertainty over alternatives0
Generative Prompt Tuning for Relation Classification0
Conformal prediction for text infilling and part-of-speech predictionCode0
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNetCode0
Nutri-bullets Hybrid: Consensual Multi-document Summarization0
Nutribullets Hybrid: Multi-document Health SummarizationCode0
InFillmore: Frame-Guided Language Generation with Bidirectional Context0
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models0
Decoding As Dynamic Programming For Recurrent Autoregressive Models0
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text ExchangeCode0
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