Papers with discovering syntax

1 papers
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders (N19-1)

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Challenge: Using the deep inside-outside recursive autoencoder, we can extract both shallow parses and full syntactic trees from any domain or language automatically.
Approach: They propose a fully-unsupervised method for discovering syntax that simultaneously learns representations for constituents within the induced tree.
Outcome: The proposed method outperforms previous methods on the WSJ dataset.

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