Paper generation (Title-to-abstract)
1 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Paper generation (Title-to-abstract)
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Elsevier OA CC-BY
Most implemented papers
PaperRobot: Incremental Draft Generation of Scientific Ideas
EagleW/PaperRobot
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ACL 2019
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs (KGs); (2) creating new ideas by predicting links from the background KGs, by combining graph attention and contextual text attention; (3) incrementally writing some key elements of a new paper based on memory-attention networks: from the input title along with predicted related entities to generate a paper abstract, from the abstract to generate conclusion and future work, and finally from future work to generate a title for a follow-on paper.
