论文信息 - Bridging Topics for Story Generation

Bridging Topics for Story Generation

This paper introduces a method for bridging topics designed to facilitate generating stories over documents. First, we present a method for topic extraction based on narrative structure with k-means algorithm. We then model the story generation process and present a method for finding a bridge document between two documents.

Makoto Sato | Mina Akaishi | Koichi Hori

[1] Marc Cavazza,et al. Character-Based Interactive Storytelling , 2002, IEEE Intell. Syst..

[2] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.

[3] Mina Akaishi,et al. Narrative based Topic Visualization for Chronological Data , 2007, 2007 11th International Conference Information Visualization (IV '07).

[4] Claire Tomlin,et al. Scanning the issue - Special Issue on Aviation Information Systems , 2008 .

[5] Makoto Sato,et al. Analyzing Topic Transitions using Term Context-dependent Attractiveness , 2009, EJC.

[6] Inderjeet Mani,et al. Multi-Document Summarization by Graph Search and Matching , 1997, AAAI/IAAI.

[7] Mina Akaishi. A Dynamic Decomposition/Recomposition Framework for Documents based on Narrative Structure Model , 2006 .

[8] Robert Michael Young,et al. From linear story generation to branching story graphs , 2005, IEEE Computer Graphics and Applications.

[9] Arnav Jhala,et al. Branching Storylines in Virtual Reality Environments for Leadership Development , 2004, AAAI.