Algorithm Research & Explore
|
476-480

Multi-granularity relation detection incorporating global-local features

Qiu Wanchun
Xu Jian
School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210094, China

Abstract

Relation detection for knowledge base question answering(KBQA) aims to select the best relation path that matches the question expressed by natural language from the candidate relations in the knowledge base and retrieve the answer to the question. To solve the problem of semantic information loss and inadequate attention interaction in existing relation detection methods, this paper proposed a multi-granularity relation detection model incorporating global-local features. The model firstly used bi-directional long short-term memory(Bi-LSTM) networks to encode the question and relation and modeled relations from multiple granularity, such as word-level and relation-level representation. Then, the model introduced a bi-directional attention mechanism to implement attentive interaction of the question and relation. Finally, it extracted global and local features by the aggregation operation and word-level interaction, respectively, to calculate the semantic similarity of the question and candidate relation. Experiments show that the proposed model achieves 93.5% and 84.13% accuracy on SimpleQuestions and WebQuestionsSP datasets, respectively, improving the effect of relation detection.

Foundation Support

国家自然科学基金面上项目(61872186)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0330
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 476-480
Serial Number: 1001-3695(2023)02-027-0476-05

Publish History

[2022-09-19] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

邱婉春, 徐建. 融合全局—局部特征的多粒度关系检测模型 [J]. 计算机应用研究, 2023, 40 (2): 476-480. (Qiu Wanchun, Xu Jian. Multi-granularity relation detection incorporating global-local features [J]. Application Research of Computers, 2023, 40 (2): 476-480. )

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.

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