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D19-1397.pdf
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🔗 Source: aclanthology.org
📊 Size: 965 KB
👤 Author: Qinyuan Ye ; Liyuan Liu ; Maosen Zhang ; Xiang Ren
⬇️ Downloads: 54

Summary

Researchers studied the limitations of distant supervision (DS) in relation extraction (RE) and identified "shifted label distribution" as a key factor affecting performance. DS datasets often have label distributions that differ from those of human-annotated test sets, leading to decreased model performance. A simple bias adjustment method was proposed to address this issue, resulting in up to 23% relative F1 improvement on DS-trained models. Experiments on real-world and synthetic datasets validated the importance of considering shifted label distribution in DS-based RE.

Description

Researchers studied the limitations of distant supervision (DS) in relation extraction (RE) and identified "shifted label distribution" as a key factor...

Technical Information

  • File Format: PDF
  • File Size: 965 KB
  • Pages: 10
  • Language: EN
  • Author: Qinyuan Ye ; Liyuan Liu ; Maosen Zhang ; Xiang Ren
  • Total Downloads: 54
  • Last Updated: 3 weeks ago

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