Noun-Modifier Semantic Relations (State of the art)
- 600 noun-modifier pairs labeled with 30 classes of semantic relations
- 30 classes organized into 5 superclasses
- introduced in Nastase and Szpakowicz (2003)
- subsequently used by many other researchers
- data available from UT Repository
- information about data available from Vivi Nastase and Nastase and Szpakowicz (2003)
- Causality: "cold virus"
- Temporality: "morning frost"
- Spatial: "aquatic mammal"
- Participant: "dream analysis"
- Quality: "copper coin"
Table of results
|Algorithm||Reference||5 class macroaveraged F-measure||5 class accuracy|
|VSM||Turney and Littman (2005)||43.2%||45.7%|
Nastase, Vivi and Stan Szpakowicz. (2003). Exploring noun-modifier semantic relations. In Fifth International Workshop on Computational Semantics (IWCS-5), pages 285–301, Tilburg, The Netherlands.
Nastase, Vivi, Jelber Sayyad Shirabad, Marina Sokolova, and Stan Szpakowicz. (2006). Learning noun-modifier semantic relations with corpus-based and Wordnet-based features. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06), pages 781-787. Boston, Massachusetts.
Turney, Peter D. (2005). Measuring semantic similarity by latent relational analysis. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), pages 1136–1141, Edinburgh, Scotland.
Turney, Peter D. and Michael L. Littman. (2005). Corpus-based learning of analogies and semantic relations. Machine Learning, 60(1–3):251–278.
Turney, P.D. (2006). Expressing implicit semantic relations without supervision. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (Coling/ACL-06), Sydney, Australia, pp. 313-320.
Turney, P.D. (2006). Similarity of semantic relations. Computational Linguistics, 32 (3), 379-416.