declare-lab / RECCON

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

Date Created 2020-11-30 (4 years ago)

Commits 45 (last one 3 years ago)

Stargazers 179 (0 this week)

Watchers 11 (0 this week)

Forks 30

License unknown

Ranking

RepositoryStats indexes 628,089 repositories, of these declare-lab/RECCON is ranked #202,759 (68th percentile) for total stargazers, and #185,648 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #37,013/127,953.

declare-lab/RECCON is also tagged with popular topics, for these it's ranked: dataset (#431/1216), inference (#169/329), causal-inference (#40/118), emotion-recognition (#34/108)

Other Information

declare-lab/RECCON has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 4 closed issues.

There have been 1 release, the latest one was published on 2022-04-15 (2 years ago) with the name Data Release.

All Topics

dataset emotion roberta causality inference reasoning bert-model causal-spans causal-models conversations emotion-cause emotion-tasks causal-inference dialogue-systems dialogue-generation emotion-recognition natural-language-inference emotion-cause-pair-extraction emotion-recognition-in-conversation

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The only known language in this repository is Python

updated: 2025-03-11 @ 10:42am, id: 317069564 / R_kgDOEuYY_A