Algorithm Research & Explore
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1663-1667

Multi-feature fusion and few-shot relation extraction based on semantic enhancement

Pan Lihu
Liu Yun
Xie Binhong
Zhang Yingjun
College of Computer Science & Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China

Abstract

Entity relationship extraction is a key task of natural language processing and knowledge graph construction. The existing few-shot relation extraction methods can't effectively obtain and make full use of more text semantic information. For this reason, this paper proposed a semantic enhancement-based multi-feature fusion relationship extraction method(SMPC), and applied it to few-shot tasks. The method constructed a piecewise convolutional neural network that integrated information such as position, part of speech, and syntactic dependence to maximize semantic features. The model extracted fine-grained semantic information from Wikipedia and integrated it into word embedding to improve the common learning of model context. This paper made experiments on different baseline methods in two scenarios. It achieves a maximum accuracy improvement of 4% and 10%, and proves the effectiveness of the method.

Foundation Support

山西省自然科学基金资助项目(201901D111258)
山西省中科院科技合作项目(20141101001)
山西省重点研究计划资助项目(201603D121031)
山西省应用基础研究项目(201801D221179)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0626
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Algorithm Research & Explore
Pages: 1663-1667
Serial Number: 1001-3695(2022)06-010-1663-05

Publish History

[2022-01-24] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

潘理虎, 刘云, 谢斌红, 等. 基于语义增强的多特征融合小样本关系抽取 [J]. 计算机应用研究, 2022, 39 (6): 1663-1667. (Pan Lihu, Liu Yun, Xie Binhong, et al. Multi-feature fusion and few-shot relation extraction based on semantic enhancement [J]. Application Research of Computers, 2022, 39 (6): 1663-1667. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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