Interpreting BERT-based Text Similarity via Activation and Saliency Maps-Reference-Cited by-同舟云学术

Interpreting BERT-based Text Similarity via Activation and Saliency Maps

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Malkiel Itzik¹,Ginzburg Dvir¹,Barkan Oren²,Caciularu Avi³,Weill Jonathan⁴,Koenigstein Noam¹

Affiliation:

1. Microsoft, Israel and Tel-Aviv University, Israel

2. The Open University, Israel and Microsoft, Israel

3. Bar-Ilan University, Israel

4. Microsoft, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512045

Reference54 articles.

1. Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt and Been Kim. 2018. Sanity Checks for Saliency Maps. arxiv:1810.03292 [cs.CV] Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt and Been Kim. 2018. Sanity Checks for Saliency Maps. arxiv:1810.03292 [cs.CV]

2. Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques. arXiv preprint arXiv:1909.03012(2019). Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques. arXiv preprint arXiv:1909.03012(2019).

3. GAM

4. Oren Barkan Yael Brumer and Noam Koenigstein. 2016. Modelling Session Activity with Neural Embedding.. In RecSys Posters. Oren Barkan Yael Brumer and Noam Koenigstein. 2016. Modelling Session Activity with Neural Embedding.. In RecSys Posters.

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