论文标题
非自动句子摘要的字符级长度控制算法
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
论文作者
论文摘要
句子摘要旨在将长句子压缩成一个简短的句子，以保持主要要旨，并具有广泛的现实应用程序，例如标题生成。在先前的工作中，研究人员开发了各种方法来提高胭脂评分，这是摘要的主要评估指标，而控制摘要长度并没有引起太多关注。在我们的工作中，我们解决了一个明确的字符级长度控制的新问题，以进行汇总，并根据Connectionist暂时分类（CTC）模型提出了动态编程算法。结果表明，我们的方法不仅可以达到更高的胭脂分数，而且还能产生更完整的句子。
Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In previous work, researchers have developed various approaches to improve the ROUGE score, which is the main evaluation metric for summarization, whereas controlling the summary length has not drawn much attention. In our work, we address a new problem of explicit character-level length control for summarization, and propose a dynamic programming algorithm based on the Connectionist Temporal Classification (CTC) model. Results show that our approach not only achieves higher ROUGE scores but also yields more complete sentences.
