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  • Whitepapers and Explainers
    • From a Billion To One – Mastering Relevancy
    • Methods for Text Summarization
      • Application
      • Technology Methods
      • Commercial Tools
      • Key Research Centres
      • Productionisation
      • Related Areas of Text Analytics
      • Conclusion
      • References
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  1. Whitepapers and Explainers
  2. Methods for Text Summarization

References

PreviousConclusion
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[1]

P. Modaresi, P. Gross, S. Sefidrodi, M. Eckhof and S. Conrad, “On (commercial) benefits of automatic text summarization systems in the news domain: a case of media monitoring and media response analysis,” arXiv preprint arXiv:1701.00728, 2017.

[2]

F. Kiyoumarsi, H. Khosravi, E. Eslami, P. Khosravian Dehkordi and A. Tajoddin, “Optimizing Text Summarization Based on Fuzzy Logic,” in Computer and Information Science, 2008.

[3]

V. &. L. G. Gupta, “A Survey of Text Summarization Extractive Techniques,” Journal of Emerging Technologies in Web Intelligence, vol. 2, no. 10.4304/jetwi.2.3, pp. 258-268, 2010.

[4]

G. Hernández, R. Arnulfo and Y. Ledeneva, “Word Sequence Models for Single Text Summarization,” in 2nd International Conferences on Advances in Computer-Human Interactions, 2009.

[5]

C. Jaruskulchai and C. Kruengkrai, “Generic text summarization using local and global properties of sentences,” in Proceedings IEEE/WIC International Conference on Web Intelligence, Halifax, NS, Canada, 2003.

[6]

R. Mihalcea and P. Tarau, “Textrank: Bringing order into text.,” in Proceedings of the 2004 conference on empirical methods in natural language processing, 2004.

[7]

P. University, “About WordNet,” Princeton University, 2010. [Online]. Available: https://wordnet.princeton.edu/. [Accessed 21 February 2020].

[8]

Z. Dong, Q. Dong and C. Hao, “Hownet and its computation of meaning,” in Proceedings of the 23rd international conference on Computational Linguistics: Demonstrations. Association for Computational Linguistics., 2010.

[9]

S. Osiński, J. Stefanowski and D. Weiss, “Lingo: Search results clustering algorithm based on singular value decomposition.,” in Intelligent information processing and web mining, Berlin, Heidelberg, Springer, 2004, pp. 359-368.

[10]

M. Wang, X. Wang and C. Xu, “An approach to concept-obtained text summarization,” in IEEE International Symposium on Communications and Information Technology, 2005.

[11]

R. Barzilay and K. R. McKeown, “Sentence fusion for multidocument news summarization,” Computational Linguistics, vol. 31, no. 3, pp. 297-328, 2005.

[12]

S. M. &. L. F. Harabagiu, “Generating single and multi-document summaries with gistexter,” in In Document Understanding Conferences, 2002.

[13]

K. Ganesan, C. Zhai and J. Han, “Opinosis: A graph based approach to abstractive summarization of highly redundant opinions.,” ideals.illinois.edu, 2010.

[14]

The University of Manchester, “NATURAL LANGUAGE PROCESSING (NLP) & TEXT MINING,” The University of Manchester, 2020. [Online]. Available: http://www.datascience.manchester.ac.uk/research/methodologies/natural-language-processing-nlp-text-mining/. [Accessed 11 March 2020].

[15]

The Alan Turing Institute, “Natural Language Processing Interest Group @ The Alan Turing Institute,” 2020. [Online]. Available: https://turing-nlp.github.io/index.html. [Accessed 11 March 2020].

[16]

Cardiff University, “Cardiff hosts HealTAC 2019: the UK Healthcare Text Analytics Conference,” Cardiff University, 26 April 2019. [Online]. Available: https://www.cardiff.ac.uk/news/view/1502943-cardiff-hosts-healtac-2019-the-uk-healthcare-text-analytics-conference. [Accessed 11 March 2019].

[17]

The University of Sheffield, “Natural Language Processing,” 2020. [Online]. Available: https://www.sheffield.ac.uk/dcs/research/groups/natural-language-processing. [Accessed 11 March 2020].

[18]

A. PAI, “Comprehensive Guide to Text Summarization using Deep Learning in Python,” Analytics Vidhya, 10 June 2019. [Online]. Available: https://www.analyticsvidhya.com/blog/2019/06/comprehensive-guide-text-summarization-using-deep-learning-python/. [Accessed 11 March 2020].

[19]

J. R. Finkel, T. Grenager and C. Manning, “Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling,” in Proceedings of the 43nd Annual Meeting of the Association for Computational Linguistics, 2005.