Automated entity relation tuple extraction using web mining

Binary entity relationship tuples can be applied in many fields such as knowledge base construction, data mining and pattern extraction and so on. A seed with a tuple and a keyword of a special relation is used to implement the method of extracting entity relation tuples from the web. Multiple Natural Language Processing (NLP) technologies are combined in this method. A novel pattern acquisition method and an improved bootstrapping iteration strategy are adopted to extract tuples. The baseline method achieves to 78.12% of average precision. The method with filtering measure achieves to 98.42%. The experimental results show that it can satisfy information extraction application well and the extracted tuples can derive more valuable information through further processing.