Automatic summarising: The state of the art

Author:

Spärck Jones Karen

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference165 articles.

1. Amigo, E. et al. (2005). QARLA: A framework for the evaluation of text summarisation systems. In ACL 2002: Proceedings of the 43rd annual meeting of the association for computational linguistics (pp. 280–289).

2. Ando, R. K. et al. (2000). Multi-document summarisation by visualising topical content. In Proceedings of the ANLP/NAACL-00 (pp. 79–88).

3. Aone, C. et al. (1997). A scalable summarisation system using robust NLP. In Proceedings of the ACL-97. (pp. 66–73).

4. Banko, M., Mittal, V., & Witbrock, M. (2000). Headline generation based on statistical translation. In ACL 2000: Proceedings of the 38th annual meeting of the association for computational linguistics (pp. 318–325).

5. Barzilay, R., & Elhadad, M. (1999). Using lexical chains for text summarisation. In Mani and Maybury (pp. 110–121).

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