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mstyledistance

StyleDistance

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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This repository contains the model introduced in StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. StyleDistance is a **style embedding model** that aims to embed texts with similar writing styles closely and different styles far apart, regardless of content. You may find this model useful for stylistic analysis of text, clustering, authorship identfication and verification tasks, and automatic style transfer evaluation. StyleDistance was contrastively trained on SynthSTEL, a synthetically generated dataset of positive and negative examples of 40 style features being used in text. By utilizing this synthetic dataset, StyleDistance is able to achieve stronger content-independence than other style embeddding models currently available. This particular model was trained using a combination of the synthetic dataset and a real dataset that makes use of authorship datasets from Reddit to train style embeddings. For a version that is purely trained on synthetic data, see this other version of StyleDistance.

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mstyledistance

styledistance

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