@inproceedings{harbecke-etal-2018-learning,
    title = "Learning Explanations from Language Data",
    author = "Harbecke, David  and
      Schwarzenberg, Robert  and
      Alt, Christoph",
    editor = "Linzen, Tal  and
      Chrupa{\l}a, Grzegorz  and
      Alishahi, Afra",
    booktitle = "Proceedings of the 2018 {EMNLP} Workshop {B}lackbox{NLP}: Analyzing and Interpreting Neural Networks for {NLP}",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W18-5434/",
    doi = "10.18653/v1/W18-5434",
    pages = "316--318",
    abstract = "PatternAttribution is a recent method, introduced in the vision domain, that explains classifications of deep neural networks. We demonstrate that it also generates meaningful interpretations in the language domain."
}Markdown (Informal)
[Learning Explanations from Language Data](https://preview.aclanthology.org/iwcs-25-ingestion/W18-5434/) (Harbecke et al., EMNLP 2018)
ACL
- David Harbecke, Robert Schwarzenberg, and Christoph Alt. 2018. Learning Explanations from Language Data. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 316–318, Brussels, Belgium. Association for Computational Linguistics.