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A curated list of papers exploring the limits of deep learning for NLP

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No healthy human being would ever mistake a turtle for a rifle or parking sign for a refrigerator. Gary Marcus, Deep Learning: A Critical Appraisal

A curated list of recent papers exploring the qualitative limits of deep learning tools for NLP and the open-fields beyond them. I limit this selection to constructive papers with interesting insights.

Outside of focus: interpretability, better models of long-term dependencies (memory)

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NLP Datasets

Opinions/review articles

Debats / less formal

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A curated list of papers exploring the limits of deep learning for NLP

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