Accommodating New Relations for e-Business Text Mining Applications

摘要：

We investigate an approach of accommodating new logic relations, represented in Markov Logic Networks (MLN), from a source domain to a target domain automatically. One characteristic of this problem setting is that logic relations, which are expressed as logic formulae, previously prepared for the source domain dealing with a text mining application are not sufficient for the target domain. Therefore, new logic formulae for the target domain are automatically discovered by capturing the core logic relations for both domains and the candidate relations in the target domain using the unlabeled data in the target domain. Experimental results demonstrate that the new formulae discovered improve the performance on the target domain.

关键词： domain adaptation relational logic models

作者: Ki Chan Wai Lam Tak-Lam Wong

作者单位: Department of Systems Engineering & Engineering Management The Chinese University of Hong Kong Department of Computer Science & Engineering The Chinese University of Hong Kong

会议类型: 国际会议

会议名称: The First International Conference on Networking and Distributed Computing(第一届网络与分布式计算国际会议 ICNDC 2010)

会议地点: 杭州

会议语种:英文

页码: 189-193

在线出版日期: 2010-10-21（万方平台首次上网日期，不代表论文的发表时间）