A statistical constraint dependency grammar (CDG) parser
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TL;DR
This paper describes a statistical CDG (SCDG) parser that performs parsing incrementally and evaluates it on the Wall Street Journal Penn Treebank to achieve a parsing accuracy comparable to several state-of-the-art context-free grammar (CFG) based statistical parsers using a dependency-based evaluation metric.
Abstract
CDG represents a sentence's grammatical structure as assignments of dependency relations to functional variables associated with each word in the sentence.In this paper, we describe a statistical CDG (SCDG) parser that performs parsing incrementally and evaluate it on the Wall Street Journal Penn Treebank.Using a tight integration of multiple knowledge sources, together with distance modeling and synergistic dependencies, this parser achieves a parsing accuracy comparable to several state-of-the-art context-free grammar (CFG) based statistical parsers using a dependency-based evaluation metric.Factors contributing to the SCDG parser's performance are analyzed.
