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Towards Automatic Distinction between Specialized and Non-Specialized Occurrences of Verbs in Medical Corpora

机译:致力于自动区分医疗语料库中的动词的专业和非专业

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The medical field gathers people of different social statuses, such as students, pharmacists, managers, biologists, nurses and mainly medical doctors and patients, who represent the main actors. Despite their different levels of expertise, these actors need to interact and understand each other but the communication is not always easy and effective. This paper describes a method for a con-trastive automatic analysis of verbs in medical corpora, based on the semantic annotation of the verbs nominal co-occurents. The corpora used are specialized in cardiology and distinguished according to their levels of expertise (high and low). The semantic annotation of these corpora is performed by using an existing medical terminology. The results indicate that the same verbs occurring in the two corpora show different specialization levels, which are indicated by the words (nouns and adjectives derived from medical terms) they occur with.
机译:医学领域聚集了具有不同社会地位的人们,例如学生,药剂师,管理者,生物学家,护士以及主要代表角色的主要是医生和患者。尽管他们的专业知识水平不同,但这些参与者需要相互交流和理解,但是沟通并不总是那么容易和有效。本文基于动词名词性共现词的语义注释,描述了一种用于医学语料库中动词对比自动分析的方法。所使用的语料库专门研究心脏病学,并根据其专业水平(高和低)进行区分。这些语料库的语义注释是通过使用现有医学术语执行的。结果表明,在两个语料库中出现的相同动词显示出不同的专业化级别,这由与其一起出现的单词(源自医学术语的名词和形容词)表示。

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