The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
Annotating the propositions in the Penn Chinese Treebank
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Adding semantic roles to the chinese treebank
Natural Language Engineering
A Karaka Based Annotation Scheme for English
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
A multi-representational and multi-layered treebank for Hindi/Urdu
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Semantic Role Labeling
PropBank annotation of multilingual light verb constructions
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
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This paper makes two contributions. First, we describe the Hindi Proposition Bank that contains annotations of predicate argument structures of verb predicates. Unlike PropBanks in most other languages, the Hind PropBank is annotated on top of dependency structure, the Hindi Dependency Treebank. We explore the similarities between dependency and predicate argument structures, so the PropBank annotation can be faster and more accurate. Second, we present a probabilistic rule-based system that maps syntactic dependents to semantic arguments. With simple rules, we classify about 47% of the entire PropBank arguments with over 90% confidence. These preliminary results are promising; they show how well these two frameworks are correlated. This can also be used to speed up our annotations.