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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1 Introduction
- What is the central thesis of Bender and Koller (2020)?A system trained only on linguistic form has a priori no way to learn meaning, so claims that large language models “understand” language or capture “meaning” are overclaims; clarity about form versus meaning will guide the field towards better science of natural language understanding.
- Bender & Koller, 2020, Climbing towards NLU (Proceedings of the 58th Annual Meeting of ACL), §1, p. 5185
- How do Bender and Koller define a language model?Any system trained only on string prediction, over characters, words or sentences, sequentially or not.
- Bender & Koller, 2020, Climbing towards NLU (Proceedings of the 58th Annual Meeting of ACL), §1, p. 5185
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/