Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Bender & Koller, 2020, Climbing towards NLU (Proceedings of the 58th Annual Meeting of ACL)
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9 Some possible counterarguments
- How did Bender and Koller answer “there is so much form out there, surely that is enough”?Quantity doesn’t matter to the principle: the octopus may watch forever. People keep generating new intents about evolving worlds, so producing apt responses without meaning would require memorizing infinitely many stimulus–response pairs.
- Bender & Koller, 2020, Climbing towards NLU (Proceedings of the 58th Annual Meeting of ACL), §9, pp. 5192–5193
- How did Bender and Koller answer “BERT improves meaning-related tasks, so it must have learned meaning”?It has probably learned something about meaning, as syntax and semantic similarity capture something about it: a useful but incomplete reflection of meaning in form. LMs learn that reflection, not meaning itself.
- Bender & Koller, 2020, Climbing towards NLU (Proceedings of the 58th Annual Meeting of ACL), §9, pp. 5192–5193
Source
- Emily M. Bender and Alexander Koller. 2020. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 5185–5198. License: CC BY 4.0. Flashcards adapted from this work. doi:10.18653/v1/2020.acl-main.463 https://aclanthology.org/2020.acl-main.463/