3260 papers • 126 benchmarks • 313 datasets
Generating scientific paper texts, such as abstracts.
(Image credit: Papersgraph)
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A paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract and a novel Writing-editing Network that can attend to both the title and the previously generated abstract drafts and then iteratively revise and polish the abstract.
A PaperRobot who performs as an automatic research assistant by conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs is presented.
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