Papers by Hamza Harkous

1 papers
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity (2020.coling-main)

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Challenge: End-to-end neural data-totext generation has faced challenges generalizing to new domains and generating semantically consistent text.
Approach: They propose a neural data-to-text generation system that makes minimal assumptions about the data representation and target domain.
Outcome: The proposed system achieves state of the art results on four major D2T datasets with better semantic fidelity than the state-of-the-art methods.

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