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.- Anthology ID:
- W18-5434
- Volume:
- Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
- Month:
- November
- Year:
- 2018
- Address:
- Brussels, Belgium
- Editors:
- Tal Linzen, Grzegorz Chrupała, Afra Alishahi
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 316–318
- Language:
- URL:
- https://aclanthology.org/W18-5434
- DOI:
- 10.18653/v1/W18-5434
- Cite (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.
- Cite (Informal):
- Learning Explanations from Language Data (Harbecke et al., EMNLP 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-5434.pdf
- Code
- DFKI-NLP/language-attributions