# jeffchy/RE2RNN

<https://repo.masters-masters.com/en/repos/jeffchy/RE2RNN>

[Home](https://repo.masters-masters.com/en) › [jeffchy](https://repo.masters-masters.com/en/owners/jeffchy) › [RE2RNN](https://repo.masters-masters.com/en/repos/jeffchy/RE2RNN)

jeffchy/RE2RNN has 114 stars on GitHub. Its RepoMasters card: Prototype tier. Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning…

| Field | Value |
| --- | --- |
| Owner | [jeffchy](https://repo.masters-masters.com/en/owners/jeffchy) |
| Stars | 114 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | regular-expression, text-classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jeffchy/RE2RNN](https://github.com/jeffchy/RE2RNN) |

## Repository

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.