natural-language-processing-7
Fact-based Text Editing
3260 papers • 126 benchmarks • 313 datasets
Fact-based Text Editing aims to revise a given document to better describe the facts in a knowledge base (e.g., several triples).
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Fact-based Text Editing
Hayate Iso, Hang Li, Chao Qiao•Tue Jun 30 2020
A new neural network architecture for fact-based text editing, called FactEditor, which edits a draft text by referring to given facts using a buffer, a stream, and a memory, and results show that FactEditor conducts inference faster than the encoder-decoder approach.
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