Incremental Parsing with Minimal Features Using Bi-Directional LSTM

Abstract

Recently, neural network approaches for parsing have largely automated the combination of individual features, but still rely on (often a larger number of) atomic features created from human linguistic intuition, and potentially omitting important global context. To further reduce feature engineering to the bare minimum, we use bi-directional LSTM sentence… (More)

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Citation Velocity: 38

Averaging 38 citations per year over the last 2 years.

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