@inproceedings{bond-etal-2019-comparison,
    title = "A Comparison of Sense-level Sentiment Scores",
    author = "Bond, Francis  and
      Janz, Arkadiusz  and
      Piasecki, Maciej",
    editor = "Vossen, Piek  and
      Fellbaum, Christiane",
    booktitle = "Proceedings of the 10th Global Wordnet Conference",
    month = jul,
    year = "2019",
    address = "Wroclaw, Poland",
    publisher = "Global Wordnet Association",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2019.gwc-1.46/",
    pages = "363--372",
    abstract = "In this paper, we compare a variety of sense-tagged sentiment resources, including SentiWordNet, ML-Senticon, plWordNet emo and the NTU Multilingual Corpus. The goal is to investigate the quality of the resources and see how well the sentiment polarity annotation maps across languages."
}