Is Japanese CCGBank empirically correct? A case study of passive and causative constructions
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Abstract (arXiv)
The Japanese CCGBank serves as training and evaluation data for developing Japanese CCG parsers. However, since it is automatically generated from the Kyoto Corpus, a dependency treebank, its linguistic validity still needs to be sufficiently verified. In this paper, we focus on the analysis of passive/causative constructions in the Japanese CCGBank and show that, together with the compositional semantics of ccg2lambda, a semantic parsing system, it yields empirically wrong predictions for the nested construction of passives and causatives.
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- 2017A* CCG Parsing with a Supertag and Dependency Factored Modelcited by 22
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