# Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree

<https://repo.masters-masters.com/en/repos/Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree>

[Home](https://repo.masters-masters.com/en) › [Sshanu](https://repo.masters-masters.com/en/owners/Sshanu) › [Relation-Classification-using-Bidirectional-LSTM-Tree](https://repo.masters-masters.com/en/repos/Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree)

Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree has 189 stars on GitHub. Its RepoMasters card: Prototype tier. TensorFlow Implementation of the…

| Field | Value |
| --- | --- |
| Owner | [Sshanu](https://repo.masters-masters.com/en/owners/Sshanu) |
| Stars | 189 |
| Forks | 40 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | relation-extraction, relation-classification, dependency-tree, tensorflow, word-embedding, lstm, bidirectional-lstm, lstm-tree, tree, semeval |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree](https://github.com/Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree) |

## Repository

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

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.
