Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models

Grusha Prasad; Marten van Schijndel; Tal Linzen

2019 CoNLL CoNLL 2019

Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Interdisciplinary and Natural Language Processing

Authors

Grusha Prasad, Marten van Schijndel, Tal Linzen

Topics

Artificial Intelligence > Core AI > Interpretability Natural Language Processing > Generation > Language Modeling Interdisciplinary > Cognitive Science > Cognitive Modeling

Keywords

long short-term memory neural language model syntactic representation syntactic priming gradient similarity relative clause psycholinguistic analysis

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