Text Infilling

Text Infilling is a task in natural language processing that aims to predict missing parts of a text, ensuring they are consistent with the context. This task generalizes traditional cloze tasks, which are not limited to filling in single words but can handle longer text segments. Text Infilling has significant application value in areas such as text generation, editing, and repair, enhancing the coherence and naturalness of language models.