@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/jlcl-multiple-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/jlcl-multiple-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.