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Table-to-Text Generation.pdf

2021.findings-emnlp.347.pdf
Preview of Table-to-Text Generation
🔗 Source: aclanthology.org
📊 Size: 603 KB
👤 Author: Wenting Zhao ; Ye Liu ; Yao Wan ; Philip Yu
⬇️ Downloads: 158

Summary

The proposed approach, Attend, Memorize and Generate (AMG), aims to improve few-shot table-to-text generation by preserving table structure and reducing hallucinated content. AMG uses a novel attention mechanism to attend to both table words and slots, and a memory unit to track table slot allocation, ensuring faithful text generation. Experiments on the Wiki dataset show that AMG outperforms state-of-the-art baselines in both fluency and faithfulness.

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Description

The proposed approach, Attend, Memorize and Generate (AMG), aims to improve few-shot table-to-text generation by preserving table structure and reducing...

Technical Information

  • File Format: PDF
  • File Size: 603 KB
  • Pages: 12
  • Language: EN
  • Author: Wenting Zhao ; Ye Liu ; Yao Wan ; Philip Yu
  • Total Downloads: 158
  • Last Updated: 3 hours ago

Document Overview

This PDF document about Table-to-Text Generation provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Table-to-Text Generation.

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