A Philosophically-Informed Contribution to the Generalization Problem of Neural Natural Language Inference: Shallow Heuristics, Bias, and the Varieties of Inference

Reto Gubelmann, Christina Niklaus, Siegfried Handschuh


Anthology ID:
2022.naloma-1.5
Volume:
Proceedings of the 3rd Natural Logic Meets Machine Learning Workshop (NALOMA III)
Month:
August
Year:
2022
Address:
Galway, Ireland
Editors:
Aikaterini-Lida Kalouli, Stergios Chatzikyriakidis
Venue:
NALOMA
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
38–50
Language:
URL:
https://aclanthology.org/2022.naloma-1.5
DOI:
Bibkey:
Cite (ACL):
Reto Gubelmann, Christina Niklaus, and Siegfried Handschuh. 2022. A Philosophically-Informed Contribution to the Generalization Problem of Neural Natural Language Inference: Shallow Heuristics, Bias, and the Varieties of Inference. In Proceedings of the 3rd Natural Logic Meets Machine Learning Workshop (NALOMA III), pages 38–50, Galway, Ireland. Association for Computational Linguistics.
Cite (Informal):
A Philosophically-Informed Contribution to the Generalization Problem of Neural Natural Language Inference: Shallow Heuristics, Bias, and the Varieties of Inference (Gubelmann et al., NALOMA 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.naloma-1.5.pdf