HAKE: an Unsupervised Approach to Automatic Keyphrase Extraction for Multiple Domains
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s12559-021-09979-7.pdf
Reference108 articles.
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3. Jones S, Staveley MS. PHRASIER: a system for interactive document retrieval using keyphrases. In: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval. 1999. pp. 160–167. ACM.
4. D’Avanzo E, Magnini B. A keyphrase-based approach to summarization: the LAKE system at DUC-2005. In: Proceedings of DUC. 2005.
5. Zha H. Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering. In: Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval. 2002. pp. 113–120. ACM.
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