Reasoning Knowledge Transfer for Logical Table-to-Text Generation-Reference-Cited by-同舟云学术

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Reasoning Knowledge Transfer for Logical Table-to-Text Generation

Published:2024-06-30 Issue: Volume:35 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Liu Baoqiang¹,Bai Yu¹,Cai Fang²,Xue Shuang³,Ye Na¹,Ye XinYuan⁴

Affiliation:

1. Shenyang Aerospace University,School of Computer Science,ShenYang,China

2. Stanford University,Department of Statistics,Stanford,USA

3. Shenyang Aerospace University,School of Foreign Language,ShenYang,China

4. Computing and Cybernetics The Australian National University,College of Engineering,Canberra,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10649960.pdf?arnumber=10649960

Reference23 articles.

1. ToTTo: A Controlled Table-To-Text Generation Dataset

2. Challenges in Data-to-Document Generation

3. The E2E Dataset: New Challenges For End-to-End Generation

4. Neural Text Generation from Structured Data with Application to the Biography Domain

5. Logical Natural Language Generation from Open-Domain Tables

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