From 040cd5d556ba8078fec68e5dbbaaa6c3811e6dad Mon Sep 17 00:00:00 2001 From: Hartmann Date: Mon, 21 Jun 2021 06:15:21 +0000 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 110ef27..fe6f8aa 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ With this model, you can classify emotions in English text data. The model was t 6) sadness 7) surprise -The model is a fine-tuned checkpoint of DistilRoBERTa-base. +The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 universal emotions, plus a neutral class. ## Application @@ -44,7 +44,7 @@ Thanks to Samuel Domdey and chrsiebert for their support in making this model av ## Appendix -Please find an overview of the datasets used for training below. The table summarizes which emotions are available in each of the datasets. +Please find an overview of the datasets used for training below. All datasets contain English text. The table summarizes which emotions are available in each of the datasets. |Name|anger|disgust|fear|joy|neutral|sadness|surprise| |---|---|---|---|---|---|---|---| @@ -53,4 +53,4 @@ Please find an overview of the datasets used for training below. The table summa |GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes| |ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-| |MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes| -|SemEval-18|Yes|-|Yes|Yes|-|Yes|-| \ No newline at end of file +|SemEval-2018, EI-reg (Mohammad et al. 2018) |Yes|-|Yes|Yes|-|Yes|-| \ No newline at end of file