The Japanese Society for Artificial Intelligence

For decision support, we developed text mining method to extract information about physical property values related to the decision from a large amount of accumulated technical papers. In numerical expressions, we think that the usefulness will be enhanced by not treating only numerical values, but extracting them from the document by combining the numerical values related to which events (Attribute Value Extraction). We reported a method for extracting pairs of item names and numerical values using StruAP. As a result of the evaluation, we confirmed the effectiveness of this method.