Abstracting Knowledge from Annotated Chinese-Chess Game Records.
Journal
Computers and Games, 5th International Conference, CG 2006, Turin, Italy, May 29-31, 2006. Revised Papers
Journal Volume
4630 LNCS
Pages
100-111
Date Issued
2006
Author(s)
Abstract
Expert knowledge is crucial for improving the strength of computer Chinese-Chess programs. Although a great deal of expert knowledge is available in text format that using natural languages, manually transforming it into computer readable forms is time consuming and difficult. Written expert annotations of Chinese-Chess games show different styles. By analyzing and collecting commonly used phrases and patterns from experts' annotations, we introduce a novel pattern matching strategy. It automatically epitomises knowledge from a large number of annotated game records. The results of the experiments on the analysis of the middle phase of games indicate that our strategy achieves a low error rate. We hope to exploit this approach to collect automatically a great diversity of Chinese-Chess knowledge that is currently in text format.1 © Springer-Verlag Berlin Heidelberg 2007.
SDGs
Other Subjects
Game theory; Natural language processing systems; Pattern matching; Error rate; Game records; Knowledge management
Type
conference paper