Aiimi Insight Engine Primo
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  • whitepapers and explainers
    • 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]

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.

  1. whitepapers and explainers
  2. Methods for Text Summarization

References

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