corenlp 三元组原理

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corenlp 三元组原理
English: The principle of extracting triples in CoreNLP involves identifying the subject, predicate, and object in a sentence to generate structured information. CoreNLP uses natural language processing techniques to parse the sentence and identify the grammatical structure, including parts of speech and dependencies between words. Once the sentence is parsed, CoreNLP applies patterns and rules to identify the entities and their relationships, which form the triples. For example, in the sentence "Bob bought a car", CoreNLP would identify "Bob" as the subject, "bought" as the predicate, and "car" as the object. These triples can then be used for various tasks such as knowledge graph construction, semantic parsing, and question answering.
中文翻译: 在CoreNLP中提取三元组的原理涉及识别句子中的主语、谓语和宾语,以生成结构化信息。

CoreNLP使用自然语言处理技术来解析句子并识别语法结构,包括词性和词语之间的依赖关系。

一旦句子被解析,CoreNLP应用模式和规则来识别实体及其关系,从而形成三元组。

例如,在句子"Bob bought a car"中,CoreNLP会将"Bob"识别为主语,
"bought"识别为谓语,"car"识别为宾语。

这些三元组可以用于知识图谱构建、语义解析和问题回答等各种任务。

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