Graphene：一个上下文保持的开放式信息抽取系统
Graphene: A Context-Preserving Open Information Extraction System
摘要：
我们介绍Graphene，一个开放的IE系统，其目标是生成准确，有意义和完整的命题，可以促进各种下游语义应用程序。为此，我们将句法复杂的输入句子转换成干净，紧凑的结构，以核心事实和伴随的上下文的形式，同时确定它们之间的修辞关系，以保持它们的语义关系。通过这种方式，我们保留了从源句子中提取的关系元组的上下文，为Open IE生成一个新的轻量级语义表示，增强了提取的命题的表达能力。
英文摘要：
We introduce Graphene, an Open IE system whose goal is to generate accurate, meaningful and complete propositions that may facilitate a variety of downstream semantic applications. For this purpose, we transform syntactically complex input sentences into clean, compact structures in the form of core facts and accompanying contexts, while identifying the rhetorical relations that hold between them in order to maintain their semantic relationship. In that way, we preserve the context of the relational tuples extracted from a source sentence, generating a novel lightweight semantic representation for Open IE that enhances the expressiveness of the extracted propositions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
