TableFormer: Robust Transformer Modeling for Table-Text Encoding. Yang, J., Gupta, A., Upadhyay, S., He, L., Goel, R., & Paul, S. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 528–537, Dublin, Ireland, May, 2022. Association for Computational Linguistics. ![TableFormer: Robust Transformer Modeling for Table-Text Encoding [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{yang_tableformer_2022,
address = {Dublin, Ireland},
title = {{TableFormer}: {Robust} {Transformer} {Modeling} for {Table}-{Text} {Encoding}},
url = {https://aclanthology.org/2022.acl-long.40},
doi = {10.18653/v1/2022.acl-long.40},
booktitle = {Proceedings of the 60th {Annual} {Meeting} of the {Association} for {Computational} {Linguistics} ({Volume} 1: {Long} {Papers})},
publisher = {Association for Computational Linguistics},
author = {Yang, Jingfeng and Gupta, Aditya and Upadhyay, Shyam and He, Luheng and Goel, Rahul and Paul, Shachi},
month = may,
year = {2022},
pages = {528--537},
}
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