Article

Single document keyphrase extraction using neighborhood knowledge

Authors:

Jianguo XiaoAuthors Info & Claims

AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Pages 855 - 860

Published: 13 July 2008 Publication History

Abstract

Existing methods for single document keyphrase extraction usually make use of only the information contained in the specified document. This paper proposes to use a small number of nearest neighbor documents to provide more knowledge to improve single document keyphrase extraction. A specified document is expanded to a small document set by adding a few neighbor documents close to the document, and the graph-based ranking algorithm is then applied on the expanded document set to make use of both the local information in the specified document and the global information in the neighbor documents. Experimental results demonstrate the good effectiveness and robustness of our proposed approach.

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Cited By

Xie BSong JShao LWu SWei XYang BLin HXie JSu J(2023)From statistical methods to deep learning, automatic keyphrase predictionInformation Processing and Management: an International Journal10.1016/j.ipm.2023.10338260:4Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.ipm.2023.103382
Piedboeuf FLanglais PKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)A new dataset for French and multilingual keyphrase generationProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3603027(38046-38059)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.5555/3600270.3603027
Abulaish MFazil MZaki M(2022)Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual SemanticsACM Transactions on Knowledge Discovery from Data10.1145/349456016:4(1-30)Online publication date: 8-Jan-2022
https://dl.acm.org/doi/10.1145/3494560
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cover image Guide Proceedings

AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

July 2008

1266 pages

ISBN:9781577353683

Editor:
Anthony Cohn
University of Leeds

Sponsors

Association for the Advancement of Artificial Intelligence

Publisher

AAAI Press

Publication History

Published: 13 July 2008

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Cited By

Xie BSong JShao LWu SWei XYang BLin HXie JSu J(2023)From statistical methods to deep learning, automatic keyphrase predictionInformation Processing and Management: an International Journal10.1016/j.ipm.2023.10338260:4Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.ipm.2023.103382
Piedboeuf FLanglais PKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)A new dataset for French and multilingual keyphrase generationProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3603027(38046-38059)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.5555/3600270.3603027
Abulaish MFazil MZaki M(2022)Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual SemanticsACM Transactions on Knowledge Discovery from Data10.1145/349456016:4(1-30)Online publication date: 8-Jan-2022
https://dl.acm.org/doi/10.1145/3494560
Deka PJurek-Loughrey ADeepak (2021)Unsupervised Keyword Combination Query Generation from Online Health Related Content for Evidence-Based Fact CheckingThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487701(267-277)Online publication date: 29-Nov-2021
https://dl.acm.org/doi/10.1145/3487664.3487701
Ding HLuo X(2021)Attention-based Unsupervised Keyphrase Extraction and Phrase Graph for COVID-19 Medical Literature RetrievalACM Transactions on Computing for Healthcare10.1145/34739393:1(1-16)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3473939
Yao KQin CZhu HMa CZhang JDu YXiong HDemartini GZuccon GCulpepper JHuang ZTong H(2021)An Interactive Neural Network Approach to Keyphrase Extraction in Talent RecruitmentProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482319(2383-2393)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3482319
Yang KGao YLiang LBian SChen LZheng B(2021)CrowdTC: Crowd-powered Learning for Text ClassificationACM Transactions on Knowledge Discovery from Data10.1145/345721616:1(1-23)Online publication date: 20-Jul-2021
https://dl.acm.org/doi/10.1145/3457216
Kim JSong YHwang SDiaz FShah CSuel TCastells PJones RSakai T(2021)Web Document Encoding for Structure-Aware Keyphrase ExtractionProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3463067(1823-1827)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3463067
Garg M(2021)A survey on different dimensions for graphical keyword extraction techniquesArtificial Intelligence Review10.1007/s10462-021-10010-654:6(4731-4770)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s10462-021-10010-6
Albahr AChe DAlbahar M(2021)A novel cluster-based approach for keyphrase extraction from MOOC video lecturesKnowledge and Information Systems10.1007/s10115-021-01568-263:7(1663-1686)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1007/s10115-021-01568-2
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