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Found 5 papers, 1 papers with code
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
Unlike previous approaches requiring style-labeled training data, our method makes use of readily-available unlabeled text by relying on the implicit connection in style between adjacent sentences, and uses labeled data only at inference time.
TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling
We present a novel approach to the challenging problem of label-free text style transfer.
A Repository of Conversational Datasets
Progress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches.
Question-Answer Selection in User to User Marketplace Conversations
Sellers in user to user marketplaces can be inundated with questions from potential buyers.
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