Abstract: Story Link Detection is to determine whether two stories are about the same topic. To overcome the limitation of the story length, sparse data and the drifting problem in story content, this paper provided a technology of dynamic information extending to improve the story representation model. It extended the current story with its previous latest topirrclated story. hhe refinement on the information for dynamic extending was also studied. It aims to reduce the influcnce of the noise introduced when extending by increasing the weights of some important features in the extending story. This method was used for Story Link Detection on the Tl)」4 Chinese corpus. The experiment results indicate that the technology of dynamic extending and the refinement of extending information can both affect the performance of story link detection systems evidently.

Key words: Topic detection and tracking,Dynamic information extending,Story representation model