Neural data-to-text generation: A comparison between pipeline and end-to-end architectures-Reference-Cited by-同舟云学术

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Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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Author:

Castro Ferreira Thiago,van der Lee Chris,van Miltenburg Emiel,Krahmer Emiel

Publisher

Association for Computational Linguistics

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Abductive Reasoning in Language Models for Data-to-Text Generation;2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS);2023-12-07

2. A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models;ACM Computing Surveys;2023-10-06

3. Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

4. Automated Generation of Human-readable Natural Arabic Text from RDF Data;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-03-25

5. Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model;Computational Linguistics;2023

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