论文标题
通过依赖解析简化无监督的句子
Unsupervised Sentence Simplification via Dependency Parsing
论文作者
论文摘要
文本简化是重写文本的任务，使其可以阅读并容易理解。在本文中，我们提出了一个简单而又新颖的无监督句子简化系统，该系统利用解析结构以及嵌入句子来产生语言有效的简化。这意味着我们的模型能够引入实质性的修改，以简化句子，同时保持其原始语义和足够的流利度。我们在Turkcorpus的39.13 Sari建立了无监督的最先进的，并在各种质量指标上对受监督的基线进行竞争性能。此外，我们通过越南数据证明了框架对其他语言的可扩展性。复制代码发表在\ url {https://github.com/isvy08/usdp}上。
Text simplification is the task of rewriting a text so that it is readable and easily understood. In this paper, we propose a simple yet novel unsupervised sentence simplification system that harnesses parsing structures together with sentence embeddings to produce linguistically effective simplifications. This means our model is capable of introducing substantial modifications to simplify a sentence while maintaining its original semantics and adequate fluency. We establish the unsupervised state-of-the-art at 39.13 SARI on TurkCorpus set and perform competitively against supervised baselines on various quality metrics. Furthermore, we demonstrate our framework's extensibility to other languages via a proof-of-concept on Vietnamese data. Code for reproduction is published at \url{https://github.com/isVy08/USDP}.
