Paper: Using Machine-Learning To Assign Function Labels To Parser Output For Spanish

ACL ID P06-2018
Title Using Machine-Learning To Assign Function Labels To Parser Output For Spanish
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

Data-driven grammatical function tag as- signment has been studied for English us- ing the Penn-II Treebank data. In this pa- per we address the question of whether such methods can be applied success- fully to other languages and treebank re- sources. In addition to tag assignment ac- curacy and f-scores we also present re- sults of a task-based evaluation. We use three machine-learning methods to assign Cast3LB function tags to sentences parsed with Bikel’s parser trained on the Cast3LB treebank. The best performing method, SVM, achieves an f-score of 86.87% on gold-standard trees and 66.67% on parser output - a statistically significant improve- ment of 6.74% over the baseline. In a task-based evaluation we generate LFG functional-structures from the function- tag-enriched trees. On t...