# alibaba-edu/simple-effective-text-matching-pytorch

<https://repo.masters-masters.com/en/repos/alibaba-edu/simple-effective-text-matching-pytorch>

[Home](https://repo.masters-masters.com/en) › [alibaba-edu](https://repo.masters-masters.com/en/owners/alibaba-edu) › [simple-effective-text-matching-pytorch](https://repo.masters-masters.com/en/repos/alibaba-edu/simple-effective-text-matching-pytorch)

alibaba-edu/simple-effective-text-matching-pytorch has 305 stars on GitHub. Its RepoMasters card: Alpha tier. A pytorch implementation of the ACL2019 paper…

| Field | Value |
| --- | --- |
| Owner | [alibaba-edu](https://repo.masters-masters.com/en/owners/alibaba-edu) |
| Stars | 305 |
| Forks | 53 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | nlp, deep-learning, pytorch, snli, quora-question-pairs |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [alibaba-edu/simple-effective-text-matching-pytorch](https://github.com/alibaba-edu/simple-effective-text-matching-pytorch) |

## Repository

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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