Empathy Annotated Student Peer Reviews Corpus (EASPRC) version 1.0
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Free and full access: https://github.com/thiemowa/empathy_annotated_peer_reviews

The corpus contains 500 student peer reviews about business model feedbacks annotated for their cognitive and emotional empathy levels based on three types of review components (strength, weakness and suggestions for improvement). The folder contains the following files:

1. guideline.pdf: the annotation guidelines used in this study

2. Corpus.zip: the corpus including the txt files and the ann (annotation) files for each student review
   
For annotating the texts, we used the tagtog annotation tool (https://www.tagtog.net/).


Citation
--------
  
If you use the data, cite the following publication

   T. Wambsganss, C. Niklaus, M. Söllner, S. Handschuh and J. M. Leimeister, 
   “Supporting Cognitive and Emotional Empathic Writing of Students” In: _The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing_

region:us
{}
TAGS
#region-us 

Empathy Annotated Student Peer Reviews Corpus (EASPRC) version 1.0
-----------------------------------------------------

Free and full access: URL

The corpus contains 500 student peer reviews about business model feedbacks annotated for their cognitive and emotional empathy levels based on three types of review components (strength, weakness and suggestions for improvement). The folder contains the following files:

1. URL: the annotation guidelines used in this study

2. URL: the corpus including the txt files and the ann (annotation) files for each student review
   
For annotating the texts, we used the tagtog annotation tool (URL


Citation
--------
  
If you use the data, cite the following publication

   T. Wambsganss, C. Niklaus, M. Söllner, S. Handschuh and J. M. Leimeister, 
   “Supporting Cognitive and Emotional Empathic Writing of Students” In: _The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing_

TAGS
#region-us 

passage: TAGS
#region-us 
