An information extraction method for multiple data sources
Hiroyuki Mizuguchi, Dai Kusui · NTCIR · 2010
a method of information extraction for multiple data sources or for various kinds of datasets like Internet web pages. Generally, because many different writing styles or vo- cabularies exist among different kinds of data, the accuracy of information extraction using various kinds of datasets is not better than that using a single kind of data. Our method divides the data by clustering and learns extraction rules to increase accuracy even if we use various kinds of datasets. In our ex- periment, we applied our method to a NTCIR8 Technical Trend Map Creation subtask that uses two kinds of data, patents and technical papers, and obtained the better precision than normal information extraction method.