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Automatic Extraction of Hyponymy-Hypernymy Lexical Relations between Nouns from a Spanish Dictionary

机译:自动提取西班牙语字典中名词的低位血清词汇关系

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In this paper a method is presented which permits to automatically extract lexical-semantic relations between nouns (specifically for concrete nouns since they have a well structured taxonomy). From the definitions of the entries in a Spanish dictionary, the hypernym of an entry is extracted from the entry definition according to the basic assumption that the first noun in the definition is the entry hypernym. After obtaining the hypernym for each entry, multilayered hyponymy-hyperonymy relations are generated from a noun, which is considered the root of the domain. The domains for which this approach was tested were zoology and botany. Five levels of hyponymy-hypernymy relations were generated for each domain. For the zoology domain a total of 1,326 relations was obtained with an average percentage of correctly generated relations (precision) of 84.31% for the five levels. 91.32% of all the relations of this domain were obtained in the first three levels, and for each of these levels the precision exceeds 96%. For the botany domain a total of 1,199 relations was obtained, with an average precision of 71.31% for the five levels, 90.76% of all the relations of this domain were obtained in the first level, and for this level the precision exceeds 99%.
机译:在本文中,提出了一种方法,该方法允许自动提取名词之间的词汇语义关系(专门用于混凝土名词,因为它们具有结构良好的分类系统)。根据西班牙语字典中条目的定义,根据定义中的第一个名词是条目超值的基本假设,从条目定义中提取条目的超义。获取每个条目的HyperNym后,来自名词生成的多层的开喻 - 异义关系,该关系被视为域的根目录。这种方法测试的域是动物学和植物学。为每个域生成五个级别的低音型血清关系。对于动物区间,总共1,326个关系获得了5个级别的平均百分比,平均正确的关系(精度)为5个级别为84.31%。在前三个层面获得了91.32%,在前三个层面获得了该领域的所有关系,并且对于这些级别中的每一个,精度超过96%。对于植物学域,总共获得了1,199个关系,平均精度为五个层面的71.31%,在第一级获得了该领域的所有关系的90.76%,并且这种级别的精度超过99%。

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