A Statistical Language Modeling Framework for Extractive Summarization of Text Documents

Author:

Gupta Pooja,Nigam Swati,Singh RajivORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference53 articles.

1. ElKassas WS, Salama CR, Rafea AA, Mohamed HK. Automatic text summarization: a comprehensive survey. Expert Syst Appl. 2021;165:113679.

2. Gambhir M, Gupta V. Recent automatic text summarization techniques: a survey. Artif Intell Rev. 2017;47(1):1–66.

3. Ferreira R, De Souza Cabral L, Lins RD, Silva GP, Freitas F, Cavalcanti GD, Favaro L. Assessing sentence scoring techniques for extractive text summarization. Expert Syst Appl. 2013;40(14):5755–64.

4. Gupta V, Lehal GS. A survey of text summarization extractive techniques. J Emerg Technol Web Intell. 2010;2(3):258–68.

5. Gao S, Chen X, Li P, Ren Z, Bing L, Zhao D, Yan R. Abstractive text summarization by incorporating reader comments. Proc AAAI Conf Artif Intell. 2019;33:6399–406.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Extractive Text Summarization using Multiple Linguistic Features;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-04-08

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