| Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2012: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2011: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2010: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
|
|---|
| Research Abstract |
This research aims to develop a method for automatically classifying relationships between a search query and its search results, with an intelligent search engine of information science papers as a target application. By analyzing actual paper abstracts, we identified textual relations that appear in general in those papers, such as method, purpose, and result, and developed an annotated data set that consists of 100 paper abstracts. By using this data set for training/evaluation, we developed a method for automatically recognizing these relations, and achieved a practical level of accuracy. We applied this method to 3000 abstracts of information science papers, and develpoed a prototype search engine that automatically classifies search results based on these relationships.
|
