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A Local Tree Alignment-based Soft Pattern Matching Approach for Information Extraction
| Content Provider | CiteSeerX |
|---|---|
| Author | Lee, Gary Geunbae Jeong, Minwoo Kim, Seokhwan |
| Abstract | This paper presents a new soft pattern matching method which aims to improve the recall with minimized precision loss in information extraction tasks. Our approach is based on a local tree alignment algorithm, and an effective strategy for controlling flexibility of the pattern matching will be presented. The experimental results show that the method can significantly improve the information extraction performance. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Local Tree Alignment Algorithm Effective Strategy New Soft Pattern Pattern Matching Information Extraction Performance Information Extraction Task Information Extraction Minimized Precision Loss Experimental Result |
| Content Type | Text |
| Resource Type | Article |