基于MPNet预训练和多头注意力特征融合的引文意图分类方法

doi:10.16451/j.cnki.issn1003-6059.202209008

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Abstract

Automatic citation intent classification is one of hot issues in the field of bibliometrics.The existing citation intention classification models engender the limitations in extracting textual features and fusing citation contextual features and citation external features. Therefore, a citation intent classification method based on MPNet pretraining and multi-head attention feature fusion is proposed. The position compensation structure is introduced to improve the masked language model and permuted Language model.The syntactic word-frequency features and structure features of citations are combined. A feature extraction method is proposed for citation intent classification task. The multi-head attention mechanism is introduced for feature fusion to improve the classification accuracy. The experimental results on ACL-ARC datasets demonstrate that the proposed method achieves better performance in citation intent classification task with robustness on the unbalanced data.

Key words： Citation Intent Classification Feature Fusion Pretraining Model Feature Extraction Multi-head Attention Mechanism

Received: 16 August 2021

ZTFLH:

TP 391.1

Fund:

Supported by National Social Science Fund of China(No.15BYY028), Innovative Talents Project of Universities in Liaoning Pro-vince(No.WR2019005), Research and Innovation Team of Dalian University of Foreign Languages(No.2016CXTD06)

Corresponding Authors: QI Ruihua, Ph.D., professor. Her research interests include na-tural language processing and text mining.

About author:: SHAO Zhen, master student. His research interests include natural language proce-ssing. GUAN Jinghua, Ph.D., associate professor. Her research interests include natural language processing.GUO Xu, master, lecturer. His research interests include natural language proce-ssing.

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	QI Ruihua
	SHAO Zhen
	GUAN Jinghua
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Cite this article:

QI Ruihua,SHAO Zhen,GUAN Jinghua等. Citation Intent Classification Method Based on MPNet Pretraining and Multi-head Attention Feature Fusion[J]. Pattern Recognition and Artificial Intelligence, 2022, 35(9): 849-857.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202209008 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2022/V35/I9/849

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