Julian Eisenschlos, Maharshi Gor, Thomas Müller 0009, William W. Cohen. MATE: Multi-view Attention for Table Transformer Efficiency. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 7606-7619, Association for Computational Linguistics, 2021. [doi]
@inproceedings{EisenschlosG0C21,
title = {MATE: Multi-view Attention for Table Transformer Efficiency},
author = {Julian Eisenschlos and Maharshi Gor and Thomas Müller 0009 and William W. Cohen},
year = {2021},
url = {https://aclanthology.org/2021.emnlp-main.600},
researchr = {https://researchr.org/publication/EisenschlosG0C21},
cites = {0},
citedby = {0},
pages = {7606-7619},
booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021},
editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
publisher = {Association for Computational Linguistics},
}