TransformerG:Multi-hop Reading Comprehension of Legal Texts Based on Hierarchical Graph Structure and Attention Mechanism

ZHU Siqi, GUO Yi, WANG Yexiang, YU Jun, TANG Qifeng, SHAO Zhiqing

PDF(1766 KB)
PDF(1766 KB)
Journal of Chinese Information Processing ›› 2022, Vol. 36 ›› Issue (11) : 148-155,168.
Natural Language Understanding and Generation

TransformerG:Multi-hop Reading Comprehension of Legal Texts Based on Hierarchical Graph Structure and Attention Mechanism

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2022, 36(11): 148-155,168

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1766 KB)

Accesses

Citation

Detail

Sections
Recommended

/