Papers with text infilling component

1 papers
A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model (2022.coling-1)

Copied to clipboard

Challenge: Existing methods for text infilling focus on the infill length of blanks and attribute relevance, but attribute-aware content can be more useful.
Approach: They propose an attribute-aware text infilling method via a Pre-trained language model which contains a text in filling component and a plug-and-play discriminator.
Outcome: The proposed method improves attribute relevance without decreasing text fluency on three open-source datasets.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations