Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Intricacies of Collins' Parsing Model
Computational Linguistics
Semantic role labeling using different syntactic views
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Semantic role labeling via integer linear programming inference
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A robust combination strategy for semantic role labeling
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
An empirical study of Chinese chunking
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A global joint model for semantic role labeling
Computational Linguistics
Labeling chinese predicates with semantic roles
Computational Linguistics
Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling
ACM Transactions on Asian Language Information Processing (TALIP)
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
Improving Chinese semantic role classification with hierarchical feature selection strategy
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Combination strategies for semantic role labeling
Journal of Artificial Intelligence Research
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Chinese semantic role labeling with shallow parsing
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Generalized inference with multiple semantic role labeling systems
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Joint inference for bilingual semantic role labeling
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
| Hi-index | 0.01 |
Many Semantic Role Labeling (SRL) combination strategies have been proposed and tested on English SRL task. But little is known about how much Chinese SRL can benefit from system combination. And existing combination strategies trust each individual system's output with the same confidence when merging them into a pool of candidates. In our approach, we assign different weights to different system outputs, and add a weighted merging stage to the conventional SRL combination architecture. We also propose a method to obtain an appropriate weight for each system's output by minimizing some error function on the development set. We have evaluated our strategy on Chinese Proposition Bank data set. With our minimum error weighting strategy, the F1 score of the combined result achieves 80.45%, which is 1.12% higher than baseline combination method's result, and 4.90% higher than the best individual system's result.