LowEST: a low resource semantic text summarization method for big data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s11334-022-00514-x.pdf
Reference22 articles.
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2. Pal AR, Saha D (2014) An approach to automatic text summarization using wordnet, In: Advance Computing Conference (IACC), 2014 IEEE International, pp 1169–1173, IEEE
3. Bijalwan V, Kumar V, Kumari P, Pascual J (2014) Knn based machine learning approach for text and document mining. Int J Database Theory Appl 7(1):61–70
4. Ferreira R, de Souza CL, Freitas F, Lins RD, de França SG, Simske SJ, Favaro L (2014) A multi-document summarization system based on statistics and linguistic treatment. Expert Syst Appl 41:5780–5787
5. Chen P, Wu F, Wang T, Ding W (2018) A semantic qa-based approach for text summarization evaluation. In: Thirty-Second AAAI conference on artificial intelligence
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