@inproceedings{mosca-etal-2022-explaining,
    title = "Explaining Neural {NLP} Models for the Joint Analysis of Open-and-Closed-Ended Survey Answers",
    author = "Mosca, Edoardo  and
      Harmann, Katharina  and
      Eder, Tobias  and
      Groh, Georg",
    editor = "Verma, Apurv  and
      Pruksachatkun, Yada  and
      Chang, Kai-Wei  and
      Galstyan, Aram  and
      Dhamala, Jwala  and
      Cao, Yang Trista",
    booktitle = "Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)",
    month = jul,
    year = "2022",
    address = "Seattle, U.S.A.",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.trustnlp-1.5/",
    doi = "10.18653/v1/2022.trustnlp-1.5",
    pages = "49--63"
}