Automatic labeling of semantic roles
Computational Linguistics
Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Statistical measures of the semi-productivity of light verb constructions
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Discovering semantic classes for Urdu N-V complex predicates
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Analysis of the Hindi proposition bank using dependency structure
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Identifying and analyzing Brazilian Portuguese complex predicates
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
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In this paper, we have addressed the task of PropBank annotation of light verb constructions, which like multi-word expressions pose special problems. To arrive at a solution, we have evaluated 3 different possible methods of annotation. The final method involves three passes: (1) manual identification of a light verb construction, (2) annotation based on the light verb construction's Frame File, and (3) a deterministic merging of the first two passes. We also discuss how in various languages the light verb constructions are identified and can be distinguished from the non-light verb word groupings.