Papers with 10-times speed-up over graph-based dependency parsers

1 papers
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective (2023.emnlp-main)

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Challenge: a new framework for structured prediction is developed for natural language processing . a systematic approach to structured prediction requires exhaustive pair-wise comparisons of tokens .
Approach: They propose a method that models the relationship between pairs of tokens in a string . they use a parallel method that predicts real numbers for each token in .
Outcome: The proposed method doubles the speed of graph-based dependency parsers and brings 10-times speed-up over graph-driven dependency parses.

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