Toward a New Process for Candidate Key-Phrases Extraction-Reference-Cited by-同舟云学术

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Toward a New Process for Candidate Key-Phrases Extraction

Published:2022 Issue: Volume: Page:466-474
ISSN:2367-3370
Container-title:Digital Technologies and Applications
language:
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Author:

Ajallouda Lahbib,Hourrane Oumaima,Zellou Ahmed,Benlahmar El Habib

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-02447-4_48

Reference17 articles.

1. Vega-Oliveros, D.A., et al.: A multi-centrality index for graph-based keyword extraction. Inf. Process. Manag. 56(6), 102063 (2019)

2. Berry, M.W., Kogan, J., (eds.) Text Mining: Applications and Theory. Wiley (2010)

3. Sun, C., et al.: A review of unsupervised keyphrase extraction methods using within-collection resources. Symmetry 12(11), 1864 (2020)

4. Hasan, K.S., Ng, V.: Automatic keyphrase extraction: a survey of the state of the art. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, vol. 1: Long Papers (2014)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);K Barker,2000

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. Keyphrases extraction: Approach Based on Document Paragraph Weights;2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2022-12

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