标题： 率失真框架下的摘要方法 显示英文标题

标题： A Rate-Distortion Framework for Summarization

摘要： 本文介绍了一种用于文本摘要的信息论框架。我们定义了摘要器率失真函数，并表明它为摘要器的性能提供了一个基本的下限。我们描述了一种类似于 Blahut-Arimoto 算法的迭代过程来计算该函数。为了处理现实世界的文本数据集，我们还提出了一种实用的方法，可以在有限的数据量下计算摘要器率失真函数。最后，我们通过将摘要器率失真函数与实际使用的不同摘要器的性能进行比较，实证验证了我们的理论结果。 显示英文摘要

摘要： This paper introduces an information-theoretic framework for text summarization. We define the summarizer rate-distortion function and show that it provides a fundamental lower bound on summarizer performance. We describe an iterative procedure, similar to Blahut-Arimoto algorithm, for computing this function. To handle real-world text datasets, we also propose a practical method that can calculate the summarizer rate-distortion function with limited data. Finally, we empirically confirm our theoretical results by comparing the summarizer rate-distortion function with the performances of different summarizers used in practice.