Predicting Conjunct Propagation and Other Extended Stanford Dependencies
Jenna Nyblom, Samuel Kohonen, Katri Haverinen, Tapio Salakoski, Filip Ginter · 2013
In this work, we present a data-driven method to enhance syntax trees with additional dependencies as defined in the wellknown Stanford Dependencies scheme, so as to give more information about the structure of the sentence. This hybrid method utilizes both machine learning and a rule-based approach, and achieves a performance of 93.1 % in F1-score, as evaluated using an existing treebank of Finnish. The resulting tool will be integrated into an existing Finnish parser and made publicly available at the address