Abstract
We present a new cubic-time algorithm to calculate the optimal next step in shift-reduce dependency parsing, relative to ground truth, commonly referred to as dynamic oracle. Unlike existing algorithms, it is applicable if the training corpus contains non-projective structures. We then show that for a projective training corpus, the time complexity can be improved from cubic to linear.
Original language | English |
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Pages (from-to) | 283-296 |
Number of pages | 14 |
Journal | Transactions of the Association for Computational Linguistics |
Volume | 7 |
DOIs | |
Publication status | Published - 31 May 2019 |
Keywords
- Formal language theory
- Automata theory