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NLG Model.pdf

N18-2010.pdf
Preview of NLG Model
🔗 Source: aclanthology.org
📊 Size: 587 KB
👤 Author: Shang-Yu Su ; Kai-Ling Lo ; Yi Ting Yeh ; Yun-Nung Chen
⬇️ Downloads: 173

Summary

Natural language generation (NLG) is critical in spoken dialogue systems, involving sentence planning and surface realization. Traditional NLG models, based on recurrent neural networks (RNN) and sequence-to-sequence (seq2seq) models, generate sentences from scratch but struggle with complex and long sentences due to the need to learn all grammar and diction knowledge. A proposed hierarchical decoding NLG model, leveraging linguistic patterns, separates the decoding process into multiple layers, each learning a portion of related knowledge based on part-of-speech (POS) tags. This approach outperforms traditional models with a smaller size and allows for flexibility and extensibility in various NLG systems.

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Description

Natural language generation (NLG) is critical in spoken dialogue systems, involving sentence planning and surface realization.

Technical Information

  • File Format: PDF
  • File Size: 587 KB
  • Pages: 6
  • Language: EN
  • Author: Shang-Yu Su ; Kai-Ling Lo ; Yi Ting Yeh ; Yun-Nung Chen
  • Total Downloads: 173
  • Last Updated: 2 weeks ago

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