hugochan / RL-based-Graph2Seq-for-NQG

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Date Created 2019-08-15 (5 years ago)

Commits 6 (last one 4 years ago)

Stargazers 123 (0 this week)

Watchers 6 (0 this week)

Forks 19

License apache-2.0

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RepositoryStats indexes 595,856 repositories, of these hugochan/RL-based-Graph2Seq-for-NQG is ranked #255,655 (57th percentile) for total stargazers, and #300,666 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #47,048/119,431.

hugochan/RL-based-Graph2Seq-for-NQG is also tagged with popular topics, for these it's ranked: deep-learning (#4,570/8512), pytorch (#3,245/6025), reinforcement-learning (#671/1337), graph-neural-networks (#244/592), text-generation (#85/161)

Other Information

hugochan/RL-based-Graph2Seq-for-NQG has 2 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 6 closed issues.

All Topics

pytorch graph2seq deep-learning text-generation question-generation graph-neural-networks reinforcement-learning

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updated: 2024-10-12 @ 01:51pm, id: 202571905 / R_kgDODBMAgQ