Abstract
In this paper we investigate the recently proposed multi-input RIM for inspectability. This framework follows an encapsulation paradigm, where external knowledge sources are encoded as largely independent modules, enabling transparency for model inspection.- Anthology ID:
- 2021.blackboxnlp-1.35
- Volume:
- Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
- Month:
- November
- Year:
- 2021
- Address:
- Punta Cana, Dominican Republic
- Editors:
- Jasmijn Bastings, Yonatan Belinkov, Emmanuel Dupoux, Mario Giulianelli, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad
- Venue:
- BlackboxNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 447–456
- Language:
- URL:
- https://aclanthology.org/2021.blackboxnlp-1.35
- DOI:
- 10.18653/v1/2021.blackboxnlp-1.35
- Cite (ACL):
- Parsa Bagherzadeh and Sabine Bergler. 2021. Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing. In Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 447–456, Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing (Bagherzadeh & Bergler, BlackboxNLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2021.blackboxnlp-1.35.pdf