Literature Study on Multi-document Text Summarization Techniques

Author:

Shah Chintan,Jivani Anjali

Publisher

Springer Singapore

Reference18 articles.

1. Kan, M.-Y., Klavans, J.L.: Using librarian techniques in automatic text summarization for information retrieval. In: Proceedings of the 2nd ACMlIEEE-CS Joint Conference on Digital Libraries, pp. 36–45. ACM (2002)

2. Meena, Y.K., Jain, A., Gopalani, D.: Survey on graph and cluster based approaches in multi-document text summarization. In: Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, pp. 1–5 (2014). doi:10.1109/ICRAIE.2014.6909126

3. Haque, M., Pervin, S., Begum, Z., et al.: Literature review of automatic multiple documents text summarization. Int. J. Innov. Appl. Stud. 3(1), 121–129 (2013)

4. Mihalcea, R., Tarau, P.: Textrank: bringing order into texts. In: Proceedings of EMNLP, vol. 4, Barcelona, Spain (2004)

5. Zhang, J., Sun, L., Zhou, Q.: A cue-based hub-authority approach for multi-document text summarization. In: Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2005, pp. 642–645. IEEE (2005)

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