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

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

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

Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree, dépôt open source à 189 étoiles sur GitHub. Carte Prototype de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Sshanu](https://repo.masters-masters.com/owners/Sshanu) |
| Étoiles | 189 |
| Forks | 40 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2017 |
| Sujets | relation-extraction, relation-classification, dependency-tree, tensorflow, word-embedding, lstm, bidirectional-lstm, lstm-tree, tree, semeval |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree](https://github.com/Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree) |

## Fiche du dépôt

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

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.