natural-language-processing-2
Unsupervised KG-to-Text Generation
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing
Sahand Sharifzadeh, Martin Schmitt, Hinrich Schütze, Volker Tresp•Fri Apr 19 2019
Inspired by recent work on unsupervised machine translation, this work serializes a KG as a sequence of facts and frames both tasks as sequence translation, and learns to map both graphs and texts into a joint semantic space and thus generalizes over different surface representations with the same meaning.
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