Automatic Text Generation via Text Extraction Based on Submodular

Author:

Ai Lisi,Li Na,Zheng Jianbing,Gao Ming

Publisher

Springer International Publishing

Reference19 articles.

1. McKeown, K.R., Barzilay, R., Evans, D.K., et al.: Tracking and summarizing news on a daily basis with Columbia’s newsblaster. In: Proceedings of Human Language Technology Conference (2002)

2. Radev, D.R., McKeovwn, K.R.: Generating natural languages summaries from multiple on-line sources. Comput. Linguist. 24, 21–29 (1998)

3. Lin, H., Bilmes, J.: Multi-document summarization via budgeted maximization of submodular functions. In: Association for Computational Linguistics, pp. 912–920 (2010)

4. Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 335–336 (1998)

5. Zhang, Y., Krieger, H.U.: Large-scale corpus-driven PCFG approximation of an HPSG. In: Association for Computational Linguistics, pp. 198–208 (2011)

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