Topic-focused Multi-Document Summarization Algorithm
A Topic-focused Multi-Document Summarization Algorithm is a Multi-Document Text Summarization Algorithm that can solve a Topic-Focused Multi-Document Summarization Task.
- AKA: Query-based Multi-Document Summarization Algorithm.
- See: Topic-focused Multi-Document Summarization System, Question-Answering Algorithm.
References
2008
- (Goldstein Stewart, 2008) ⇒ Jade Goldstein Stewart. (2008). “Genre Oriented Summarization." Ph.D. Thesis, Cargegie Mellon University.
2007
- (Wan, Yang & Xiao, 2007) ⇒ Xiaojun Wan, Jianwu Yang, and Jianguo Xiao. (2007). “Manifold-Ranking Based Topic-Focused Multi-Document Summarization.” In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007)
2006
- (Melli et al., 2006) ⇒ Gabor Melli, Zhongmin Shi, Yang Wang, Yudong Liu, Anoop Sarkar and Fred Popowich. (2006). “Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2006 Summarization Task.” In: Proceedings of DUC 2006.
2005
- (Melli et al., 2005) ⇒ Gabor Melli, Yang Wang, Yudong Liu, Mehdi M. Kashani, Zhongmin Shi, Baohua Gu, Anoop Sarkar, and Fred Popowich. (2005). “Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2005 Summarization Task.” In: Proceedings of DUC 2005.