Showing cs.CLShow all
3 papers · 1 filter
cs.CL2024
Representations as Language: An Information-Theoretic Framework for Interpretability
Henry Conklin, Kenny Smith
Large scale neural models show impressive performance across a wide array of linguistic tasks. Despite this they remain, largely, black-boxes - inducing vector-representations of t…
cs.CL2023
Anaphoric Structure Emerges Between Neural Networks
Nicholas Edwards, Hannah Rohde, Henry Conklin
Pragmatics is core to natural language, enabling speakers to communicate efficiently with structures like ellipsis and anaphora that can shorten utterances without loss of meaning.…
cs.CL2021
Meta-Learning to Compositionally Generalize
Henry Conklin, Bailin Wang, Kenny Smith +1
Natural language is compositional; the meaning of a sentence is a function of the meaning of its parts. This property allows humans to create and interpret novel sentences, general…