# Analysis of the Effect of Dependency Information on Predicate-Argument Structure Analysis and Zero Anaphora Resolution

## TL;DR

This paper examines how dependency information influences predicate-argument structure analysis and zero anaphora resolution in Japanese, demonstrating effective methods even without dependency data by leveraging alternative features.

## Contribution

It introduces a direct predicate-argument analyzer that compensates for missing dependency information, showing that dependency data is not always essential for accurate analysis.

## Key findings

- Dependency information improves analysis but is not crucial.
- The proposed system performs well without dependency data.
- Using oracle and real dependency results enhances performance.

## Abstract

This paper investigates and analyzes the effect of dependency information on predicate-argument structure analysis (PASA) and zero anaphora resolution (ZAR) for Japanese, and shows that a straightforward approach of PASA and ZAR works effectively even if dependency information was not available. We constructed an analyzer that directly predicts relationships of predicates and arguments with their semantic roles from a POS-tagged corpus. The features of the system are designed to compensate for the absence of syntactic information by using features used in dependency parsing as a reference. We also constructed analyzers that use the oracle dependency and the real dependency parsing results, and compared with the system that does not use any syntactic information to verify that the improvement provided by dependencies is not crucial.