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 124 (0 this week)
Watchers 5 (0 this week)
Forks 19
License apache-2.0
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RepositoryStats indexes 633,559 repositories, of these hugochan/RL-based-Graph2Seq-for-NQG is ranked #264,881 (58th percentile) for total stargazers, and #324,477 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #49,718/129,482.

hugochan/RL-based-Graph2Seq-for-NQG is also tagged with popular topics, for these it's ranked: deep-learning (#4,662/8818),  pytorch (#3,315/6221),  reinforcement-learning (#697/1453),  graph-neural-networks (#249/614),  text-generation (#90/166)

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.

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updated: 2025-03-07 @ 08:27am, id: 202571905 / R_kgDODBMAgQ