Probase在基于Open Directory Project的文本分类中的应用
Utilizing Probase in Open Directory Project-based Text Classification
摘要：
开放目录计划（ODP）由于其对多个类别的表示能力而被成功地应用于文本分类。但是，总体发展方案包括的实体数目有限，它们在分类任务中发挥着重要作用。在本文中，我们丰富的ODP类别与Probase实体的语义。为了有效地将Probase实体合并到ODP类别中，我们首先用概念来表示每个ODP类别和Probase实体。其次，我们基于概念向量度量ODP类别与Probase实体之间的语义相关性。最后，我们使用Probase实体来丰富ODP类别的语义。我们的实验结果表明，所提出的方法表现出显着的改进，在基于ODP的文本分类的最先进的技术。
英文摘要：
Open Directory Project (ODP) has been successfully utilized in text classification due to its representation ability of various categories. However, ODP includes a limited number of entities, which play an important role in classification tasks. In this paper, we enrich the semantics of ODP categories with Probase entities. To effectively incorporate Probase entities in ODP categories, we first represent each ODP category and Probase entity in terms of concepts. Next, we measure the semantic relevance between an ODP category and a Probase entity based on the concept vector. Finally, we use Probase entity to enrich the semantics of the ODP categories. Our experimental results show that the proposed methodology exhibits a significant improvement over state-of-the-art techniques in the ODP-based text classification.
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。
