A New Representation for Span-based CCG Parsing
Yoshihide Kato, Shigeki Matsubara · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021
This paper proposes a new representation for CCG derivations.CCG derivations are represented as trees whose nodes are labeled with categories strictly restricted by CCG rule schemata.This characteristic is not suitable for span-based parsing models because they predict node labels independently.In other words, span-based models may generate invalid CCG derivations that violate the rule schemata.Our proposed representation decomposes CCG derivations into several independent pieces and prevents the span-based parsing models from violating the schemata.Our experimental result shows that an off-theshelf span-based parser with our representation is comparable with previous CCG parsers.