{"title":"Linking online dictionaries to Wikipedia","authors":"Vinh Q. Tran, T. Cao","doi":"10.1109/RIVF.2015.7049870","DOIUrl":null,"url":null,"abstract":"In a dictionary, a word can have different senses, and each sense is described by a gloss. However, a gloss is short and may not be satisfactorily informative to users. Meanwhile, mostly each word sense has a corresponding article in Wikipedia that contains rich information about the concept expressed by the word sense. In this work, we propose two different methods to link online dictionary word senses to the appropriate Wikipedia articles, namely, text similarity and machine learning. Experimental results on Wiktionary and Oxford English Dictionary are also presented.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2015.7049870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In a dictionary, a word can have different senses, and each sense is described by a gloss. However, a gloss is short and may not be satisfactorily informative to users. Meanwhile, mostly each word sense has a corresponding article in Wikipedia that contains rich information about the concept expressed by the word sense. In this work, we propose two different methods to link online dictionary word senses to the appropriate Wikipedia articles, namely, text similarity and machine learning. Experimental results on Wiktionary and Oxford English Dictionary are also presented.
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将在线词典链接到维基百科
在字典中,一个词可以有不同的意思,而每一种意思都是用一种光泽来描述的。然而,光泽度很短,可能不能给用户提供令人满意的信息。同时,大多数情况下,每个词义在维基百科中都有相应的文章,其中包含了关于该词义所表达的概念的丰富信息。在这项工作中,我们提出了两种不同的方法来链接在线词典的词义到适当的维基百科文章,即文本相似度和机器学习。并给出了在维基词典和牛津英语词典上的实验结果。
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