Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation

Svetlana Kiritchenko, Saif Mohammad. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. In Regina Barzilay, Min-Yen Kan, editors, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers. pages 465-470, Association for Computational Linguistics, 2017. [doi]

@inproceedings{KiritchenkoM17,
  title = {Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation},
  author = {Svetlana Kiritchenko and Saif Mohammad},
  year = {2017},
  doi = {10.18653/v1/P17-2074},
  url = {https://doi.org/10.18653/v1/P17-2074},
  researchr = {https://researchr.org/publication/KiritchenkoM17},
  cites = {0},
  citedby = {0},
  pages = {465-470},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers},
  editor = {Regina Barzilay and Min-Yen Kan},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-945626-76-0},
}