Simple fast algorithms for the editing distance between trees and related problems
SIAM Journal on Computing
Fast algorithms for the unit cost editing distance between trees
Journal of Algorithms
The Tree-to-Tree Correction Problem
Journal of the ACM (JACM)
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Semantic role labeling: an introduction to the special issue
Computational Linguistics
Tree kernels for semantic role labeling
Computational Linguistics
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Exploring multilingual semantic role labeling
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
A local tree alignment-based soft pattern matching approach for information extraction
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Variants of tree similarity in a question answering task
LD '06 Proceedings of the Workshop on Linguistic Distances
| Hi-index | 0.00 |
"Tree SRL system" is a Semantic Role Labelling supervised system based on a tree-distance algorithm and a simple k-NN implementation. The novelty of the system lies in comparing the sentences as tree structures with multiple relations instead of extracting vectors of features for each relation and classifying them. The system was tested with the English CoNLL-2009 shared task data set where 79% accuracy was obtained.