Improving Chinese Dependency Parsing with Self-Disambiguating Patterns

Abstract

To solve the data sparseness problem in dependency parsing, most previous studies used features constructed from large-scale auto-parsed data. Unlike previous work, we propose a new approach to improve dependency parsing with context-free dependency triples (CDT) extracted by using self-disambiguating patterns (SDP). The use of SDP makes it possible to… (More)
DOI: 10.1109/IALP.2011.36

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