让机器生成精准控制语言风格的改写句，效果更准更自然。
Linguistically-Controlled Paraphrase Generation
- 用编码器-解码器框架，精细调控40种语言属性
- 相比旧模型，属性错误率降低34%，质量控制再降14%
- 适合需要精准语言风格控制的研究与应用
可控改写生成旨在保持语义不变的同时，精确控制输出的语言特征。我们提出LingConv，一种编码器-解码器框架，可对英文40种语言属性实现细粒度控制。为提升可靠性，引入一种新的推理时质量控制机制，通过迭代优化属性嵌入，生成与目标属性高度匹配且语义忠实的改写句。LingConv相较现有模型，属性误差降低最高达34%，其中质量控制机制贡献额外14%的改进。
原文摘要 · Abstract (English)
Controlled paraphrase generation produces paraphrases that preserve meaning while allowing precise control over linguistic attributes of the output. We introduce LingConv, an encoder-decoder framework that enables fine-grained control over 40 linguistic attributes in English. To improve reliability, we introduce a novel inference-time quality control mechanism that iteratively refines attribute embeddings to generate paraphrases that closely match target attributes without sacrificing semantic fidelity. LingConv reduces attribute error by up to 34% over existing models, with the quality control mechanism contributing an additional 14% improvement.
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