Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transformer based ensemble for emotion detection   Detecting emotions in languages is important to accomplish a complete
interaction between humans and machines. This paper describes our contribution
to the WASSA 2022 shared task which handles this crucial task of emotion
detection. We have to identify the following emotions: sadness, surprise,
neutral, anger, fear, disgust, joy based on a given essay text. We are using an
ensemble of ELECTRA and BERT models to tackle this problem achieving an F1
score of $62.76\%$. Our codebase (https://bit.ly/WASSA_shared_task) and our
WandB project (https://wandb.ai/acl_wassa_pictxmanipal/acl_wassa) is publicly
available.

22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin