%0 Conference Paper %1 conf/naacl/JiangMHNC22 %A Jiang, Zhengbao %A Mao, Yi %A He, Pengcheng %A Neubig, Graham %A Chen, Weizhu %B NAACL-HLT %D 2022 %E Carpuat, Marine %E de Marneffe, Marie-Catherine %E Ruíz, Iván Vladimir Meza %I Association for Computational Linguistics %K dblp %P 932-942 %T OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. %U http://dblp.uni-trier.de/db/conf/naacl/naacl2022.html#JiangMHNC22 %@ 978-1-955917-71-1

@inproceedings{conf/naacl/JiangMHNC22, added-at = {2022-08-01T00:00:00.000+0200}, author = {Jiang, Zhengbao and Mao, Yi and He, Pengcheng and Neubig, Graham and Chen, Weizhu}, biburl = {https://www.bibsonomy.org/bibtex/278425e9c8364965c35aef49a9cdc4a6c/dblp}, booktitle = {NAACL-HLT}, crossref = {conf/naacl/2022}, editor = {Carpuat, Marine and de Marneffe, Marie-Catherine and Ruíz, Iván Vladimir Meza}, ee = {https://aclanthology.org/2022.naacl-main.68}, interhash = {52ff1a25eebe310e70d48eda0c4ca7c7}, intrahash = {78425e9c8364965c35aef49a9cdc4a6c}, isbn = {978-1-955917-71-1}, keywords = {dblp}, pages = {932-942}, publisher = {Association for Computational Linguistics}, timestamp = {2024-04-09T14:53:53.000+0200}, title = {OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering.}, url = {http://dblp.uni-trier.de/db/conf/naacl/naacl2022.html#JiangMHNC22}, year = 2022 }