@inproceedings{murugan-etal-2020-determining,
    title = "Determining Event Outcomes: The Case of {\#}fail",
    author = "Murugan, Srikala  and
      Chinnappa, Dhivya  and
      Blanco, Eduardo",
    editor = "Cohn, Trevor  and
      He, Yulan  and
      Liu, Yang",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.findings-emnlp.359/",
    doi = "10.18653/v1/2020.findings-emnlp.359",
    pages = "4021--4033",
    abstract = "This paper targets the task of determining event outcomes in social media. We work with tweets containing either {\#}cookingFail or {\#}bakingFail, and show that many of the events described in them resulted in something edible. Tweets that contain images are more likely to result in edible albeit imperfect outcomes. Experimental results show that edibility is easier to predict than outcome quality."
}