Automatic labeling of semantic roles
Computational Linguistics
Support Vector Learning for Semantic Argument Classification
Machine Learning
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Jointly identifying predicates, arguments and senses using Markov logic
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Semantic role labeling for news tweets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Putting it simply: a context-aware approach to lexical simplification
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Collective semantic role labeling for tweets with clustering
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
| Hi-index | 0.01 |
Our submission to the CoNLL-2008 shared task (Surdeanu et al., 2008) focused on applying a novel method for semantic role labeling to the shared task. Our system first simplifies each sentence to be labeled using a set of hand-constructed rules; the weights of the system are trained on semantic role labeling data to generate simplifications which are as useful as possible for semantic role labeling. Our system is only a semantic role labeling system, and thus did not receive a score for Syntactic Dependencies (or, by extension, a score for the complete problem). Unlike most systems in the shared task, our system took constituency parses as input. On the sub-task of semantic dependencies, our system obtained an F1 score of 76.17, the highest in the open task. In this paper we give a high-level overview of the sentence simplification system, and discuss and analyze the modifications to this system required for the CoNLL-2008 shared task.