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Sports News Generation from Live Webcast Scripts Based on Rules and Templates

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  • First Online:
Natural Language Understanding and Intelligent Applications (ICCPOL 2016, NLPCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10102))

Abstract

With the dramatic increase of the live webcast scripts about sports, it is an urgent demand to write and publish a sports news article immediately after a sports game. However, so far, the sports news articles are usually written by human experts or journalists, and the manual writing of sports news is time-consuming and inefficient. This paper describes our system on the sports news generation from live webcast scripts task. On one hand, our system extracts the important events occurring in the time period from the live webcast scripts according to the rules, and on the other hand, our system generates a brief summary from the live webcast scripts about the football matches. According to the characteristic of live webcast scripts, we adopt an approach to sentence extraction and template generation from live webcast scripts. The evaluation results show that our system is feasible in sports news generation from live webcast scripts.

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Notes

  1. 1.

    http://ictclas.nlpir.org/.

  2. 2.

    http://www.ccf.org.cn/sites/ccf/ccfdata.jsp.

  3. 3.

    http://edu.sina.com.cn/en/2007-11-26/135640034.shtml.

References

  1. Ji, H., Favre, B., Lin, W., et al.: Open-domain multi-document summarization via information extraction: challenges and prospects. Theor. Appl. Nat. Lang. Process. 177–201 (2013). doi:10.1007/978-3-642-28569-1_9

    Google Scholar 

  2. Wang, M., Tang, X.: Extract summarization using concept-obtained and hybrid parallel genetic algorithm. In: Natural Computation, pp. 662–664 (2012)

    Google Scholar 

  3. Kumar, N., Srinathan, K., Varma, V.: A knowledge induced graph-theoretical model for extract and abstract single document summarization. In: Gelbukh, A. (ed.) CICLing 2013. LNCS, vol. 7817, pp. 408–423. Springer, Heidelberg (2013). doi:10.1007/978-3-642-37256-8_34

    Chapter  Google Scholar 

  4. Zhu, J., Wang, C., He, X., et al.: Tag-oriented document summarization. In: Proceedings of the 18th ACM International Conference on World Wide Web, pp. 1195–1196 (2009). doi:10.1145/1526709.1526925

  5. Hirao, T., Yoshida, Y., Nishino, M., et al.: Single-document summarization as a tree knapsack problem. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1515–1520 (2013)

    Google Scholar 

  6. Liu, M., Wang, L., Nie, L.: Weibo-oriented chinese news summarization via multi-feature combination. In: Li, J., Ji, H., Zhao, D., Feng, Y. (eds.) NLPCC 2015. LNCS (LNAI), vol. 9362, pp. 581–589. Springer, Heidelberg (2015). doi:10.1007/978-3-319-25207-0_55

    Chapter  Google Scholar 

  7. Tran, Q., Hwang, D., Lee, O., et al.: Exploiting character networks for movie summarization. Multimedia Tools Appl. 1–13 (2016). doi:10.1007/s11042-016-3633-6

    Google Scholar 

  8. Sadiq, A.T., Ali, Y.H., Fadhil, M.S.M.N.: Text summarization for social network conversation. In: International Conference on Advanced Computer Science Applications and Technologies, pp. 3–18 (2013)

    Google Scholar 

  9. Li, J., Zhang, K.: Keyword extraction based on tf-idf for Chinese news document. Wuhan Univ. J. Nat. Sci. 12(5), 917–921 (2007)

    Article  Google Scholar 

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Acknowledgments

The work presented in this paper is partially supported by the Major Projects of National Social Science Foundation of China under Grant No. 11&ZD189, Natural Science Foundation of China under No. 61402341, Natural Science Foundation of Education Department of Hubei Province under No. B2016010, and Open Foundation of Hubei Province Key Laboratory under No. 2016znss05A.

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430065, China

    Maofu Liu, Qiaosong Qi & Huijun Hu

  2. Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan University of Science and Technology, Wuhan, 430065, China

    Maofu Liu, Qiaosong Qi & Huijun Hu

  3. Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou, 510006, China

    Han Ren

Authors
  1. Maofu Liu
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  2. Qiaosong Qi
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  3. Huijun Hu
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  4. Han Ren
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Corresponding author

Correspondence to Han Ren .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Chin-Yew Lin

  2. Brandeis University, Waltham, Massachusetts, USA

    Nianwen Xue

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Fudan University, Shanghai, China

    Xuanjing Huang

  5. Peking University, Beijing, China

    Yansong Feng

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© 2016 Springer International Publishing AG

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Liu, M., Qi, Q., Hu, H., Ren, H. (2016). Sports News Generation from Live Webcast Scripts Based on Rules and Templates. In: Lin, CY., Xue, N., Zhao, D., Huang, X., Feng, Y. (eds) Natural Language Understanding and Intelligent Applications. ICCPOL NLPCC 2016 2016. Lecture Notes in Computer Science(), vol 10102. Springer, Cham. https://doi.org/10.1007/978-3-319-50496-4_81

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  • DOI: https://doi.org/10.1007/978-3-319-50496-4_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50495-7

  • Online ISBN: 978-3-319-50496-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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