We present a novel framework that combines strengths from surface syntactic parsing and deep syntactic parsing to increase deep parsing accuracy, specifically by combining dependency and HPSG parsing. We show that by using surface dependencies to constrain the application of wide-coverage HPSG rules, we can benefit from a number of parsing techniques designed for highaccuracy dependency parsing, while actually performing deep syntactic analysis. Our framework results in a 1.4% absolute improvement over a state-of-the-art approach for wide coverage HPSG parsing.
REF achieved a 1.4% improvement in accuracy over a state-of-the-art HPSG parser by using dependencies from a dependency parser for constraining wide-coverage rules in the HPSG parser.
HPSG Parsing with Shallow Dependency Constraints
45th Annual Meeting of the Association of Computational Linguistics
Computer Science