Dependency Parsing with an Extended Finite State Approach

An improved joint model: POS tagging and dependency parsing

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

On Dependency Analysis via Contractions and Weighted FSTs

Arc contractions in syntactic dependency graphs can be used to decide which graphs are trees. The paper observes that these contractions can be expressed with weighted finite-state transducers (weighted FST) that operate on stringencoded trees. The observation gives rise to a finite-state parsing algorithm that computes the parse forest and extracts the best parses from it. The algorithm is cus...

Parsing in two frameworks: finite-state and functional dependency grammar

A Cascaded Finite-State Parser for German

The paper presents two approaches to partial parsing of German: a tagger trained on dependency tuples, and a cascaded finite-state parser (Abney, 1997). For the tagging approach, the effects of choosing different representations of dependency tuples are investigated. Performance of the finite-state parser is boosted by delaying syntactically unsolvable disambiguation problems via underspecifica...

Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length

In lexicalized phrase-structure or dependency parses, a word’s modifiers tend to fall near it in the string. This fact can be exploited by parsers. We first show that a crude way to use dependency length as a parsing feature can substantially improve parsing speed and accuracy in English and Chinese, with more mixed results on German. We then show similar improvements by imposing hard bounds on...