Papers by Liunian Li

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Papers by Liunian Li

COLING

C18-1

attention based encoder-decoder models
copy mechanism
two-stage approach
delayed copy mechanism
encoder-decoder model
double attention
position-aware attention
precision
pairwise ranking loss
data-to-text generation

2018

Text Generation

1 papers

Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism (C18-1)

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Liunian Li, Xiaojun Wan

Text Generation

Challenge:	Recent neural generation systems have shown significant progress on data-to-text generation tasks.
Approach:	They propose a two-stage approach with a delayed copy mechanism to improve the precision of data records in the generated texts.
Outcome:	The proposed approach improves the accuracy of the generated texts on a RotoWire dataset.

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