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| Title: | Using Machine-Learning to Assign Function Labels to Parser Output for Spanish |
| Paper URL: | http://acl.ldc.upenn.edu/P/P06/P06-2018.pdf |
| Author: | Grzegorz Chrupała |
| Email: | click here to access email |
| Homepage: | http://www.lsv.uni-saarland.de/personalPages/gchrupala/index.html |
| Institution: | Saarland University |
| Author: | Josef Van Genabith |
| Email: | click here to access email |
| Institution: | Dublin City University |
| Linguistic Field: | Computational Linguistics |
| Subject Language: |
Spanish
Spanish |
| Abstract: | Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be applied successfully to other languages and treebank resources. In addition to tag assignment accuracy and f-scores we also present results 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 improvement of 6.74% over the baseline. In a task-based evaluation we generate LFG functional-structures from the function-tag-enriched trees. On this task we achieve an f-score of 75.67%, a statistically significant 3.4% improvement over the baseline. |
| Type: | Individual Paper |
| Status: | Completed |
| Publication Info: | Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions |
| URL: | http://acl.ldc.upenn.edu/P/P06/P06-2018.pdf |
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