Hybrid Approach To Unsupervised Keyphrase Extraction

Author:

Singh Vijender,Bolla Bharat Kumar

Publisher

Elsevier BV

Reference32 articles.

1. Bennani-Smires K, Musat C, Hossmann A, Baeriswyl M, Jaggi M. Simple Unsupervised Keyphrase Extraction using Sentence Embeddings. Proceedings of the 22nd Conference on Computational Natural Language Learning, Brussels, Belgium: Association for Computational Linguistics; 2018, p. 221–9. https://doi.org/10.18653/v1/K18-1022.

2. Bougouin A, Boudin F, Daille B. TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction. Proceedings of the Sixth International Joint Conference on Natural Language Processing, Nagoya, Japan: Asian Federation of Natural Language Processing; 2013, p. 543–51.

3. Hasan KS, Ng V. Automatic Keyphrase Extraction: A Survey of the State of the Art. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Baltimore, Maryland: Association for Computational Linguistics; 2014, p. 1262–73. https://doi.org/10.3115/v1/P14-1119.

4. A ranking approach to keyphrase extraction | Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval n.d. https://dl-acm-org.ezproxy2.library.arizona.edu/doi/abs/10.1145/1571941.1572113 (accessed October 8, 2023).

5. Mihalcea R, Tarau P. TextRank: Bringing Order into Text. Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, Barcelona, Spain: Association for Computational Linguistics; 2004, p. 404–11.

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