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A semi automatic annotation approach for ontological and terminological knowledge acquisition

机译:用于本体和术语知识获取的半自动注释方法

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We propose a semi-automatic method for the acquisition of specialised ontological and terminological knowledge. An ontology and a terminology are automatically built from domain experts' annotations. The ontology formalizes the common and shared conceptual vocabulary of those experts. Its associated terminology defines a glossary linking annotated terms to their semantic categories. These two resources evolve incrementally and are used for an automatic annotation of a new corpus at each iteration. The annotated corpus concerns the evaluation of French higher education and science institutions.
机译:我们提出了一种半自动的方法来获取专门的本体论和术语知识。领域专家的注释会自动构建一个本体和一个术语。本体将那些专家的通用和共享概念词汇表形式化。它的相关术语定义了一个词汇表,将注释的术语链接到它们的语义类别。这两种资源会逐步发展,并在每次迭代时用于自动注释新语料库。带注释的语料库涉及对法国高等教育和科学机构的评估。

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