# declare-lab/RECCON

<https://repo.masters-masters.com/en/repos/declare-lab/RECCON>

[Home](https://repo.masters-masters.com/en) › [declare-lab](https://repo.masters-masters.com/en/owners/declare-lab) › [RECCON](https://repo.masters-masters.com/en/repos/declare-lab/RECCON)

declare-lab/RECCON has 192 stars on GitHub. Its RepoMasters card: Prototype tier. This repository contains the dataset and the PyTorch implementations of the…

| Field | Value |
| --- | --- |
| Owner | [declare-lab](https://repo.masters-masters.com/en/owners/declare-lab) |
| Stars | 192 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | emotion-recognition, emotion-recognition-in-conversation, dialogue-systems, dialogue-generation, emotion-cause-pair-extraction, emotion-cause, bert-model, roberta, emotion-tasks, dataset |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [declare-lab/RECCON](https://github.com/declare-lab/RECCON) |

## Repository

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

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.