This repository contains the data for the paper 

Evgeny Kim and Roman Klinger: 
"Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: 
Learning to Classify Emotional Relationships of Fictional Characters."
NAACL 2019.

It consists of two files:

- fanfic-corpus.txt
  which includes the main corpus with annotations;
- labels.txt
  which is the mapping of numerical labels to emotion classes in the corresponding 
  columns of the main corpus file.

Main file format is explained below:

Story: numerical story id.
url: link to archiveofourown.org where the work is published.
8cl.undir: emotion label in 8-class undirected scenario (see the paper for the details).
8cl.dir: emotion label in 8-class directed scenario.
5cl.undir: emotion label in 5-class undirected scenario.
5cl.dir: emotion label in 5-class directed scenario.
2cl.undir: emotion label in 2-class undirected scenario.
2cl.dir: emotion label in 2-class directed scenario.
type: can be of types "relation", which means that the two characters marked with "EXP" and "TARG" indicators are in the emotion relationship; and "no_cause", which means that only the feeler of the emotion is mentioned, but no relationship with the other character is specified. 
text: actual text.

If you use this corpus, please cite as: 
@inproceedings{Kim2019,
  title = {Frowning {F}rodo, Wincing {L}eia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters},
  author = {Kim, Evgeny  and
      Klinger, Roman},
  booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  month = jun,
  year = {2019},
  address = {Minneapolis, Minnesota},
  publisher = {Association for Computational Linguistics},
  url = {https://www.aclweb.org/anthology/N19-1067},
  pages = {647--653},
  pdf = {http://www.romanklinger.de/publications/KimKlingerNAACL2019.pdf}
}

If you have questions about the corpus, send an email to evgeny.kim@ims.uni-stuttgart.de or roman.klinger@ims.uni-stuttgart.de. 