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)

Five superclasses

• Causality: "cold virus"
• Temporality: "morning frost"
• Spatial: "aquatic mammal"
• Participant: "dream analysis"
• Quality: "copper coin"

References

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.

See also

• Noun compound repository
• Citations of the Diverse Noun Compound Dataset
• SAT Analogy Questions