Information extraction (IE) involves the extraction of useful facts from texts. IE approaches have been categorized into two types: Traditional IE and Open IE. Traditional IE recognizes a predefined set of relationships between the arguments, and it has typically been applied to specific domains. Open IE extracts relationship descriptors expressing any semantic relationship between a pair of arguments in different domains. Although a sentence can have a different meaning, given the context and intention used, a single semantic analysis does not guarantee useful extractions. Extractions depend on the context and the intention inherited in a sentence that goes beyond the semantic meaning. Thus, a pragmatic analysis enhances the set of extractions by considering the contextual and intentional aspects. As a consequence, new facts can be extracted from this set of sentences. The combination of inference, context, and intention enables the extraction of implicit facts from texts achieving a first pragmatic level. This novel approach increases the number of facts, extracting relationships from a sentence analyzing inference, context, and intention. This is the first method to analyze a first pragmatic level from a sentence within a set of Portuguese text documents. Our method was performed over a set of Portuguese text documents and outperforms the most relevant related work comparing accuracy, number of extracted facts, and minimality measures.

中文翻译：

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PragmaticOIE：实用的葡萄牙语开放信息提取

信息提取（IE）涉及从文本中提取有用的事实。IE方法已分为两种类型：传统IE和开放IE。传统的IE可以识别参数之间的预定义关系集，并且通常已应用于特定域。Open IE提取关系描述符，该描述符表示不同域中的一对参数之间的任何语义关系。尽管句子可能具有不同的含义，但根据给定的上下文和意图，单个语义分析不能保证有用的提取。提取取决于上下文和句子中继承的意图，而意图超出了语义范围。因此，务实的分析通过考虑上下文和故意方面来增强提取的集合。作为结果，可以从这组句子中提取新的事实。推理，上下文和意图的结合使得能够从文本中提取隐含事实，从而达到了第一务实的水平。这种新颖的方法增加了事实的数量，从分析推理，上下文和意图的句子中提取了关系。这是从一组葡萄牙语文本文档中的句子分析第一语用水平的第一种方法。我们的方法是在一组葡萄牙语文本文档上执行的，在比较准确性，提取事实的数量和最小化度量方面，其性能优于最相关的相关工作。从句子中提取关系，分析推理，上下文和意图。这是从一组葡萄牙语文本文档中的句子分析第一语用水平的第一种方法。我们的方法是在一组葡萄牙语文本文档上执行的，在比较准确性，提取事实的数量和最小化度量方面，其性能优于最相关的相关工作。从句子中提取关系，分析推理，上下文和意图。这是从一组葡萄牙语文本文档中的句子分析第一语用水平的第一种方法。我们的方法是在一组葡萄牙语文本文档上执行的，在比较准确性，提取事实的数量和最小化度量方面，其性能优于最相关的相关工作。