Abstract
By studying the technology of automatic summarization, this paper considers event as a basic semantic unit for narrative texts, and presents a new Event-based method for automatic summarization. This method utilizes events and the relationship between events to build Event-Network text representation model, which can retain the structure information and semantic information of the text to a greater extent. The experimental results show that the Event-based automatic summarization method has better performance.
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References
Luhn HP (1958) The automatic creation of literature abstracts. IBM J Res Dev 2(2):159–165
Hovy E, Lin CY (1999) Automated text summarization in SUMMARIST. In: Mani I, Maybury M (eds) Advances in automated text summarization. MIT Press, Cambridge, pp 81–94
Wang M, Xu C, Li CG, He TT (2011) Method of multi-document automatic summarization based on sub-topic area partition. Comput Eng 37(12):158–160, 163
Mihalcea R, Tarau P (2004) TextRank: bringing order into texts. In: Proceedings of the conference on empirical methods in natural language processing. Barcelona, Spain, pp 404–411
Yu M, Luo WH, Xu HB, Bai S (2006) Research on hierarchical topic detection in topic detection and tracking. J Comput Res Dev 43(3):489–495
Filatova E, Hatzivassiloglou V (2003) Domain independent detection, extraction, and labeling of atomic events. In: Proceedings of RANLP, Borovetz, Bulgaria, pp 145–152
Zhou W, Liu Z T (2007) Event-based knowledge acquisition for ontology learning. In: Proceedings of the 6th IEEE international conference on cognitive information, Lake Tahoe, California, USA, pp 498–501
Wang ZQ, Wang YC, Liu CH (2007) A sentence weighting method for automatic text summarization based on MRP. J Shanghai Jiaotong Univ 41(8):1297–1300
Ge B, Li FF, Li F, Xiao WD (2011) Subject sentence extraction based on undirected graph construction. Comput Sci 38(5):181–185
Jaruskulchai C, Kruengkrai C (2003) Generic text summarization using local and global properties of sentences. In: Proceedings of the IEEE/WIC international conference on web intelligence. IEEE Press, Piscataway, pp 201–206
Acknowledgments
This paper is supported by the Natural Science Foundation of China (No. 60975033,61273328) and the Anhui Province College Excellent Young Talents Foundation (No. 2010SQRL050).
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Liao, T., Liu, Z., Wang, X. (2013). Research and Implementation on Event-Based Method for Automatic Summarization. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_13
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DOI: https://doi.org/10.1007/978-3-642-37502-6_13
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