Floating search methods in feature selection
Pattern Recognition Letters
The Journal of Machine Learning Research
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A global joint model for semantic role labeling
Computational Linguistics
The importance of syntactic parsing and inference in semantic role labeling
Computational Linguistics
SemEval-2010 task 10: linking events and their participants in discourse
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A latent dirichlet allocation method for selectional preferences
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Beyond NomBank: a study of implicit arguments for nominal predicates
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Semantic role labeling of implicit arguments for nominal predicates
Computational Linguistics
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Many prior studies have investigated the recovery of semantic arguments for nominal predicates. The models in many of these studies have assumed that arguments are independent of each other. This assumption simplifies the computational modeling of semantic arguments, but it ignores the joint nature of natural language. This paper presents a preliminary investigation into the joint modeling of implicit arguments for nominal predicates. The joint model uses propositional knowledge extracted from millions of Internet webpages to help guide prediction.