@inproceedings{lee-etal-2022-searching,
    title = "Searching for {PET}s: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms",
    author = "Lee, Patrick  and
      Gavidia, Martha  and
      Feldman, Anna  and
      Peng, Jing",
    editor = "Pyatkin, Valentina  and
      Fried, Daniel  and
      Anthonio, Talita",
    booktitle = "Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language",
    month = jul,
    year = "2022",
    address = "Seattle, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2022.unimplicit-1.4/",
    doi = "10.18653/v1/2022.unimplicit-1.4",
    pages = "22--32",
    abstract = "This paper presents a linguistically driven proof of concept for finding potentially euphemistic terms, or PETs. Acknowledging that PETs tend to be commonly used expressions for a certain range of sensitive topics, we make use of distri- butional similarities to select and filter phrase candidates from a sentence and rank them using a set of simple sentiment-based metrics. We present the results of our approach tested on a corpus of sentences containing euphemisms, demonstrating its efficacy for detecting single and multi-word PETs from a broad range of topics. We also discuss future potential for sentiment-based methods on this task."
}