SemEval-2007 task 04: classification of semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Phase transitions within grammatical inference
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Deriving generalized knowledge from corpora using WordNet abstraction
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
SemEval-2010 task 8: multi-way classification of semantic relations between pairs of nominals
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Using local alignments for relation recognition
Journal of Artificial Intelligence Research
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This paper presents an approach to detection of the semantic types of relation arguments employing the WordNet hierarchy. Using the SemEval-2007 data, we show that the method allows to generalize relation arguments with high precision for such generic relations as Origin-Entity, Content-Container, Instrument-Agency and some other.