English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI

MPS-Authors
/persons/resource/persons283580

Chandrasekaran,  Arjun
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Kalyan, A., Kumar, A., Chandrasekaran, A., Sabharwal, A., & Clark, P. (2021). How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. In M.-F. Moens, X. Huang, L. Specia, & S. Wen-tau Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing - Proceedings of the Conference (pp. 7318-7328). Stroudsburg, PA: Association for Computational Linguistics. doi:10.18653/v1/2021.emnlp-main.582.


Cite as: https://hdl.handle.net/21.11116/0000-000B-9F62-4
Abstract
There is no abstract available