| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
|---|
| Outline of Final Research Achievements |
We have proposed and realized a method for generating commentaries for a given game state and possible future states.
We have built a game corpus through this research and presented it in LREC 2016. With this corpus we have developed a method for searching game states by natural language keywords and made a presentation in the top conference of information retreivel, ACM SIG IR. We have also shonw that real world information improves the accuracy of a named entity recognizer. We made a presentation on this research result in one of the top conferences of natural language processing, ACL 2016.
|
