Work

Construct state modification in the Arabic Treebank

Year: 2008

Type: conference-paper

Abstract: Earlier work in parsing Arabic has speculated that attachment to construct state constructions decreases parsing performance. We make this speculation precise and define the problem of attachment to construct state constructions in the Arabic Treebank. We present the first statistics that quantify the problem. We provide a baseline and the results from a first attempt at a discriminative learning procedure for this task, achieving 80% accuracy.

DOI: 10.3115/1557690.1557750

Authors: Ryan Gabbard, Seth Kulick

Institution: University of Pennsylvania

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Defense Advanced Research Projects Agency, Advanced Research Projects Agency

Awards: G7463329482, G8820529634

OpenAlex ID: W2111925493

FWCI: 0.991

Cites: 8

Cited by: 4

Related to: 10