Multi-Document Text Summarization Algorithm

A Multi-Document Text Summarization Algorithm is a document summarization algorithm that can be implemented by a Multi-Document Summarization System to solve a Multi-Document Summarization Task.

• Context:
  • It can be a Topic-focused Multi-Document Summarization Algorithm.
  • …
• Counter-Example(s):
  • a Single-Document Summarization Algorithm.
• See: Multi-Document Summarization System.

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References

2010

• (Lin & Bilmes, 2010) ⇒ Hui Lin, and Jeff Bilmes. (2010). “Multi-document Summarization via Budgeted Maximization of Submodular Functions.” In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. ISBN:1-932432-65-5

2008

• (Stewart, 2008) ⇒ Jade Goldstein Stewart. (2008). “Genre Oriented Summarization." Ph.D. Thesis, Cargegie Mellon University.

2007

• (Shen et al., 2007) ⇒ Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, and Zheng Chen. (2007). “Document Summarization Using Conditional Random Fields.” In: Proceedings of the 20th International Joint Conference on Artifical Intelligence (IJCAI 2007)

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.

2004

• (Radev et al., 2004) ⇒ Dragomir Radev, Hongyan Jing, Malgorzata Stys, and Daniel Tam. (2004). “Centroid-based Summarization of Multiple Documents.” In: Information Processing and Management, 40 doi:10.1016/j.ipm.2003.10.006
• (Mihalcea & Tarau, 2004) ⇒ Rada Mihalcea, and Paul Tarau. (2004). “TextRank: Bringing Order into Texts.” In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP 2004).
• (Erkan & Radev, 2004) ⇒ Günes Erkan, Dragomir R. Radev. (2004). “LexPageRank: Prestige in Multi-Document Text Summarization.” In: Proceedings of Empirical Methods in Natural Language Processing (EMNLP 2004).
• (Leskovec et al., 2004) ⇒ Jure Leskovec, Marko Grobelnik, and Natasa Milic-Frayling. (2004). “Learning Sub-structures of Document Semantic Graphs for Document Summarization.” In: Proceedings of the 2004 Workshop on Link Analysis and Group Detection (LinkKDD 2004).

2002

• (Knight & Marcu, 2002) ⇒ Kevin Knight, and Daniel Marcu. (2002). “Summarization Beyond Sentence Extraction: A probabilistic approach to sentence compression.” In: Artificial Intelligence, 139(1). doi:10.1016/S0004-3702(02)00222-9
• (Barzilay et al., 2002) ⇒ Regina Barzilay, Noemie Elhadad, and Kathleen R. McKeown. (2002). “Inferring Strategies for Sentence Ordering in Multidocument News Summarization.” In: Journal of Artificial Intelligence Research, 17.

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