A Survey of Text Summarization Approaches Based on Deep Learning

Author:

Hou Sheng-Luan,Huang Xi-Kun,Fei Chao-Qun,Zhang Shu-Han,Li Yang-Yang,Sun Qi-Lin,Wang Chuan-Qing

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Reference124 articles.

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3. Hou S L, Huang Y, Fei C Q, Zhang S M, Lu R Q. Holographic lexical chain and its application in Chinese text summarization. In Proc. the 1st Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, July 2017, pp.266-281. DOI: 10.1007/978-3-319-63579-8_21.

4. Berg-Kirkpatrick T, Gillick D, Klein D. Jointly learning to extract and compress. In Proc. the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, June 2011, pp.481-490.

5. Gillick D, Favre B. A scalable global model for summarization. In Proc. the NAACL HLT Workshop on Integer Linear Programming for Natural Language Processing, June 2009, pp.10-18. DOI: https://doi.org/10.3115/1611638.1611640.

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