HCUKE: A Hierarchical Context-aware approach for Unsupervised Keyphrase Extraction-Reference-Cited by-同舟云学术

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HCUKE: A Hierarchical Context-aware approach for Unsupervised Keyphrase Extraction

Published:2024-11 Issue: Volume:304 Page:112511
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Xu Chun^ORCID,Mao Xian-Ling^ORCID,Xin Cheng-Xin,Shang Yu-Ming,Che Tian-Yi^ORCID,Mao Hong-Li,Huang Heyan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference39 articles.

1. Weakly-supervised text classification based on keyword graph;Zhang,2021

2. KPQA: A metric for generative question answering using keyphrase weights;Lee,2021

3. DivHSK: Diverse headline generation using self-attention based keyword selection;E,2023

4. From statistical methods to deep learning, automatic keyphrase prediction: A survey;Xie;Inf. Process. Manage.,2023

5. Yake! collection-independent automatic keyword extractor;Campos,2018

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