基于词典的概念挖掘：在土耳其语中的应用
Dictionary-Based Concept Mining: An Application for Turkish
摘要：
在这项研究中，一个基于字典的方法是用来提取表达概念的文件。迄今为止，英语中的概念挖掘已经有了很多研究，但是对于土耳其语这种黏着语的概念挖掘研究还很不成熟。我们使用字典而不是WordNet，WordNet是一个词汇数据库，将单词分组为同义词集，广泛用于概念提取。词典很少用于概念挖掘领域，但是考虑到词典条目在其意义文本中具有同义词、上位词、下位词和其他关系，确定概念的成功率一直很高。该概念抽取方法是在从不同语料库中收集的文档上实现的。
英文摘要：
In this study, a dictionary-based method is used to extract expressive concepts from documents. So far, there have been many studies concerning concept mining in English, but this area of study for Turkish, an agglutinative language, is still immature. We used dictionary instead of WordNet, a lexical database grouping words into synsets that is widely used for concept extraction. The dictionaries are rarely used in the domain of concept mining, but taking into account that dictionary entries have synonyms, hypernyms, hyponyms and other relationships in their meaning texts, the success rate has been high for determining concepts. This concept extraction method is implemented on documents, that are collected from different corpora.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
