Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?. Kudo, K., Aoki, Y., Kuribayashi, T., Brassard, A., Yoshikawa, M., Sakaguchi, K., & Inui, K. In Vlachos, A. & Augenstein, I., editors, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023, pages 1343–1354, 2023. Association for Computational Linguistics.

Paper doi bibtex

@inproceedings{DBLP:conf/eacl/KudoAKBYSI23,
  author       = {Keito Kudo and
                  Yoichi Aoki and
                  Tatsuki Kuribayashi and
                  Ana Brassard and
                  Masashi Yoshikawa and
                  Keisuke Sakaguchi and
                  Kentaro Inui},
  editor       = {Andreas Vlachos and
                  Isabelle Augenstein},
  title        = {Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?},
  booktitle    = {Proceedings of the 17th Conference of the European Chapter of the
                  Association for Computational Linguistics, {EACL} 2023, Dubrovnik,
                  Croatia, May 2-6, 2023},
  pages        = {1343--1354},
  publisher    = {Association for Computational Linguistics},
  year         = {2023},
  url          = {https://doi.org/10.18653/v1/2023.eacl-main.98},
  doi          = {10.18653/V1/2023.EACL-MAIN.98},
  timestamp    = {Thu, 05 Oct 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/eacl/KudoAKBYSI23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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