论文标题
对无监督依赖解析的调查
A Survey of Unsupervised Dependency Parsing
论文作者
论文摘要
句法依赖解析是自然语言处理中的重要任务。无监督的依赖解析旨在从没有正确解析树注释的句子中学习依赖解析器。尽管它很难，但无监督的解析是一个有趣的研究方向，因为它有能力利用几乎无限的未经通知的文本数据。它也是低资源解析研究的其他研究的基础。在本文中，我们调查了无监督依赖解析的现有方法，确定两种主要的方法并讨论最近的趋势。我们希望我们的调查可以为研究人员提供见解，并促进对此主题的未来研究。
Syntactic dependency parsing is an important task in natural language processing. Unsupervised dependency parsing aims to learn a dependency parser from sentences that have no annotation of their correct parse trees. Despite its difficulty, unsupervised parsing is an interesting research direction because of its capability of utilizing almost unlimited unannotated text data. It also serves as the basis for other research in low-resource parsing. In this paper, we survey existing approaches to unsupervised dependency parsing, identify two major classes of approaches, and discuss recent trends. We hope that our survey can provide insights for researchers and facilitate future research on this topic.
