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Bie-Modernism and Cultural Computing

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Culture and Computing. Design Thinking and Cultural Computing (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12795))

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Abstract

Civilization is the parasitic host of barbarism. Pseudo-modernity has lodged in modern civilization through high technology including computer technology and artificial intelligence technology, and has formed a threat to human modern civilization. Bie-modernism is a doctrine that expresses the idea of distinguishing the true modernity or true world from the pseudo modernity or the false world. Bie-modernist Culture Computing (BCC) is a kind of cultural computing guided by Bie-modernism, so as to defend the legitimate interests of people. It includes two parts, one is Visual Identification System, which combined with the background of the times and the humanistic environment, we can build a supporting platform for calculating the characteristics of the characters, and combine big data and NLP and other computer technologies to identify the real and pseudo characters. Another is Digital Identification System, which is from the perspective of cultural value, the feature model library of real and pseudo identification system is built to form a new foundation of digital global identification system. For paper regulation here we just introduce one of them.

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References

  1. Wikipedia “Bie-modernism”. www.biemodernism.org, biemodern.net, website home page

  2. Wang, J.: Bie-Modern: Space Encounter and Time Span, Preface. China Social Sciences Press (2017)

    Google Scholar 

  3. Rauterberg, M., Hu, J., Langereis, G.: Cultural computing – how to investigate a form of unconscious user experiences in mixed realities. In: Nakatsu, R., Tosa, N., Naghdy, F., Wong, K.W., Codognet, P. (eds.) ECS 2010. IAICT, vol. 333, pp. 190–197. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15214-6_19

    Chapter  Google Scholar 

  4. Rauterberg, M.: Reality determination through action. In: Proceedings of IEEE International Conference on Culture and Computing - C&C, pp. 24–29. IEEE, Piscataway (2017)

    Google Scholar 

  5. Mikolov, T., Sutskever, I., Chen, K., et al.: Distributed representations of words and phrases and their compositionality. In: Neural Information Processing Systems, pp. 3111–3119 (2013)

    Google Scholar 

  6. Yin, Z.Y., Jiang, Y., He, J.: Analysis of mobile internet multi-context user preference. Adv. Eng. Res. (AER) 130, 1175–1180 (2017). https://doi.org/10.2991/fmsmt-17.2017.232

    Article  Google Scholar 

  7. Levy, O., Goldberg, Y.: Dependency-based word embeddings. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), vol. 2, pp. 302–308 (2014)

    Google Scholar 

  8. Pennington, J., Socher, R., Manning, C.: GloVe: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532–1543 (2014)

    Google Scholar 

  9. De Marneffe, M.C., Manning, C.D.: Stanford typed dependencies manual. Technical report, Stanford University (2008)

    Google Scholar 

  10. Bamman, D., Popat, S., Shen, S.: An annotated dataset of literary entities. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2138–2144 (2019)

    Google Scholar 

  11. Qiu, L., Zhang, Y.: Word segmentation for Chinese novels. In: Twenty-Ninth AAAI Conference on Artificial Intelligence (2015)

    Google Scholar 

  12. Frermann, L., Szarvas, G.: Inducing semantic micro-clusters from deep multi-view representations of novels. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 1873–1883 (2017)

    Google Scholar 

  13. Massey, P., Xia, P., Bamman, D., et al.: Annotating character relationships in literary texts. arXiv preprint arXiv:1512.00728 (2015)

  14. Bamman, D., O’Connor, B., Smith, N.A.: Learning latent personas of film characters. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), vol. 1, pp. 352–361 (2013)

    Google Scholar 

  15. Neal, T., Sundararajan, K., Fatima, A., et al.: Surveying stylometry techniques and applications. ACM Comput. Surv. (CSUR) 50(6), 86 (2018)

    Article  Google Scholar 

  16. Hammond, A., Brooke, J., Hirst, G.: A tale of two cultures: bringing literary analysis and computational linguistics together. In: Proceedings of the Workshop on Computational Linguistics for Literature, pp. 1–8 (2013)

    Google Scholar 

  17. Elson, D.K., Dames, N., McKeown, K.R.: Extracting social networks from literary fiction. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 138–147. Association for Computational Linguistics (2010)

    Google Scholar 

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Wang, J., Chen, H. (2021). Bie-Modernism and Cultural Computing. In: Rauterberg, M. (eds) Culture and Computing. Design Thinking and Cultural Computing. HCII 2021. Lecture Notes in Computer Science(), vol 12795. Springer, Cham. https://doi.org/10.1007/978-3-030-77431-8_30

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  • DOI: https://doi.org/10.1007/978-3-030-77431-8_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77430-1

  • Online ISBN: 978-3-030-77431-8

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