Word-based Japanese Typed Dependency Parsing with Grammatical Function Analysis

Abstract

We present a novel scheme for word-based Japanese typed dependency parsing which integrates syntactic structure analysis and grammatical function analysis such as predicate-argument structure analysis. Compared to bunsetsu-based dependency parsing, which is predominantly used in Japanese NLP, it provides a natural way of extracting syntactic constituents. This makes it possible to jointly decide dependency and predicate-argument structure, which is usually implemented as two separate steps. By using grammatical functions as dependency types, we can obtain the detailed syntactic information from parsing results, while keeping the converted bunsetsu-based dependency accuracy as high as CaboCha, one of the state-of-the-art dependency parsers.