We present an improved oracle for the arc-eager transition system, which provides a set of optimal transitions for every valid parser configuration, including ...
The oracle is efficient to implement and provably correct. We use the oracle to train a deterministic left-to-right dependency parser that is less sensitive to ...
This work uses an improved oracle for the arc-eager transition system to train a deterministic left-to-right dependency parser that is less sensitive to ...
A Dynamic Oracle for Arc-Eager Dependency Parsing. COLING 2012 · Yoav Goldberg, Joakim Nivre · Edit social preview.
A Dynamic Oracle for Arc-Eager Dependency Parsing. Proceedings of the 24th International Conference on Computational Linguistics (COLING), 2(December), 959 ...
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Python implementation of Arc-Eager and Arc-Hybrid Greedy Dependency Parsing trained with a dynamic oracle described in: Goldberg, Yoav, and Joakim Nivre.
This thesis deals with the computational inefficiencies of the dynamic oracle for the Arc-Standard parser. Firstly, an overview is given of the main approaches.
Jan 10, 2013 · 2012 (English)In: Proceedings of the 24th International Conference on Computational Linguistics (COLING), 2012, p. 959-976Conference paper, ...
We present an improved oracle for the arc-eager transition system, which provides a set of optimal transitions for every valid parser configuration, including ...
- How can we recover if the parser deviates from gold sequence? One solution: “dynamic oracle” [Goldberg & Nivre 2012]. See also Locally Optimal Learning to ...