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Combining Compositionality and Pagerank for the Identification of Semantic Relations between Biomedical Words

机译:组合性和PageRank来确定生物医学词语的语义关系

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The acquisition of semantic resources and relations is an important task for several applications, such as query expansion, information retrieval and extraction, machine translation. However, their validity should also be computed and indicated, especially for automatic systems and applications. We exploit the compositionality based methods for the acquisition of synonymy relations and of indicators of these synonyms. We then apply pager-ank-derived algorithm to the obtained semantic graph in order to filter out the acquired synonyms. Evaluation performed with two independent experts indicates that the quality of synonyms is systematically improved by 10 to 15% after their filtering.
机译:获取语​​义资源和关系是几个应用程序的重要任务,例如查询扩展,信息检索和提取,机器翻译。但是,还应计算和指示它们的有效性,特别是对于自动系统和应用。我们利用基于组成性的方法来获取同义词关系和这些同义词的指标。然后,我们将Pager-Ank派生算法应用于所获得的语义图,以筛选出收购的同义词。使用两个独立专家执行的评估表明,在过滤后,同义词的质量在系统地提高10%至15%。

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