From statistical methods to deep learning, automatic keyphrase prediction: A survey-Reference-Cited by-同舟云学术

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From statistical methods to deep learning, automatic keyphrase prediction: A survey

Published:2023-07 Issue:4 Volume:60 Page:103382
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Xie Binbin^ORCID,Song Jia^ORCID,Shao Liangying^ORCID,Wu Suhang,Wei Xiangpeng,Yang Baosong,Lin Huan,Xie Jun,Su Jinsong^ORCID

Funder

Natural Science Foundation of Fujian Province

Youth Innovation Foundation of Xiamen

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference167 articles.

1. Select, extract and generate: Neural keyphrase generation with layer-wise coverage attention;Ahmad,2021

2. Automatic keyphrase extraction: a survey and trends;Alami Merrouni;Journal of Intelligent Information Systems,2020

3. GLEAKE: Global and local embedding automatic keyphrase extraction;Asl,2020

4. Diverse keyphrase generation with neural unlikelihood training;Bahuleyan,2020

5. SciBERT: A pretrained language model for scientific text;Beltagy,2019

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