SAPPHIRE

蓝宝石：增强概念到文本生成的方法

蓝宝石的代码：在INLG 2021（最佳长纸）发表的增强概念到文本生成的方法。您可以如下引用：

 @inproceedings{feng-etal-2021-sapphire,
    title = "{SAPPHIRE}: Approaches for Enhanced Concept-to-Text Generation",
    author = "Feng, Steven Y.  and
      Huynh, Jessica  and
      Narisetty, Chaitanya Prasad  and
      Hovy, Eduard  and
      Gangal, Varun",
    booktitle = "Proceedings of the 14th International Conference on Natural Language Generation",
    month = aug,
    year = "2021",
    address = "Aberdeen, Scotland, UK",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.inlg-1.21",
    pages = "212--225",
    abstract = "We motivate and propose a suite of simple but effective improvements for concept-to-text generation called SAPPHIRE: Set Augmentation and Post-hoc PHrase Infilling and REcombination. We demonstrate their effectiveness on generative commonsense reasoning, a.k.a. the CommonGen task, through experiments using both BART and T5 models. Through extensive automatic and human evaluation, we show that SAPPHIRE noticeably improves model performance. An in-depth qualitative analysis illustrates that SAPPHIRE effectively addresses many issues of the baseline model generations, including lack of commonsense, insufficient specificity, and poor fluency.",
}

作者：史蒂文·Y.

海报和其他资源可以在这里找到。

注意：询问应引导到[email protected]或在此处打开问题。

代码将很快发布