Automatic labeling of semantic roles
Computational Linguistics
Class-Based Construction of a Verb Lexicon
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Combining Classifiers for word sense disambiguation
Natural Language Engineering
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Question answering based on semantic structures
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Open text semantic parsing using FrameNet and WordNet
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
SemEval'07 task 19: frame semantic structure extraction
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CLR: integration of FrameNet in a text representation system
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
LTH: semantic structure extraction using nonprojective dependency trees
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UTD-SRL: a pipeline architecture for extracting frame semantic structures
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
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We present a method for automatic extraction of frames from a dependency graph. Our method uses machine learning applied to a dependency tree to identify frames and assign frame elements. The system is evaluated by cross-validation on FrameNet sentences, and also on the test data from the SemEval 2007 task 19. Our system is intended for use in natural language processing applications such as summarization, entailment, and novelty detection.