Refining Data for Text Generation

Qianying Liu
Qianying Liu
Tianyi Li
Tianyi Li
Wenyu Guan
Wenyu Guan

CNCL, pp. 81-94, 2020.

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Abstract:

Recent work on data-to-text generation has made progress under the neural encoder-decoder architectures. However, the data input size is often enormous, while not all data records are important for text generation and inappropriate input may bring noise into the final output. To solve this problem, we propose a two-step approach which fir...More

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