A semantic scattering model for the automatic interpretation of genitives
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automatic semantic relation extraction with multiple boundary generation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
SemEval-2007 task 04: classification of semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
BUAP: a first approximation to relational similarity measuring
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
| Hi-index | 0.00 |
We describe a WordNet-based system for the extraction of semantic relations between pairs of nominals appearing in English texts. The system adopts a lightweight approach, based on training a Bayesian Network classifier using large sets of binary features. Our features consider: i) the context surrounding the annotated nominals, and ii) different types of knowledge extracted from WordNet, including direct and explicit relations between the annotated nominals, and more general and implicit evidence (e.g. semantic boundary collocations). The system achieved a Macro-averaged F1 of 68.02% on the "Multi-Way Classification of Semantic Relations Between Pairs of Nominals" task (Task #8) at SemEval-2010.