@inproceedings{naderi-hirst-2018-using,
    title = "Using context to identify the language of face-saving",
    author = "Naderi, Nona  and
      Hirst, Graeme",
    editor = "Slonim, Noam  and
      Aharonov, Ranit",
    booktitle = "Proceedings of the 5th Workshop on Argument Mining",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/W18-5214/",
    doi = "10.18653/v1/W18-5214",
    pages = "111--120",
    abstract = "We created a corpus of utterances that attempt to save face from parliamentary debates and use it to automatically analyze the language of reputation defence. Our proposed model that incorporates information regarding threats to reputation can predict reputation defence language with high confidence. Further experiments and evaluations on different datasets show that the model is able to generalize to new utterances and can predict the language of reputation defence in a new dataset."
}