GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers - Concepedia

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GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers

DOI Full Paper Access

11

Citations

18

References

2022

Year

Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Abstract

Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

References

	Year	Citations

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