| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Research Abstract |
With the exponential growth of information on the Internet, it is becoming increasingly difficult to find and organize relevant materials. Topic tracking is a research to attack the problem. One of the major problems in the tracking task is how to make a clear distinction between a topic and an event. A wide range of statistical and machine learning techniques have been applied to topic tracking. However, one encounters quite a large number of referring expressions and ambiguous word senses. We proposed a topic tracking approach based on semantic analysis, especially we focused on word sense disambiguation, overt pronoun resolutions and retrieving relevant documents by using cross-language category hierarchies.
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