Feature-Rich Information Extraction for the Technical Trend-Map Creation

The authors used a word sequence labeling method for technical effects and base-technology extraction in the Technical Trend Map Creation Subtask of the NTCIR-8 Patent Mining Task. The method labels each word based on CRF (Conditional Random Field) trained with labeled data. The word features employed in the labeling are obtained by using explicit/implicit document structures, technology fields assigned to the document, effect context phrases, phrase dependency structures and a domain adaptation technique. Results of the formal run showed that the explicit document structure feature and the phrase dependency structure feature are effective in annotating patent data. The implicit document structure feature and the domain adaptation feature are also effective for annotating paper data.