Difference between revisions of "Noun-Modifier Semantic Relations (State of the art)"

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* Participant: "dream analysis"
 
* Participant: "dream analysis"
 
* Quality: "copper coin"
 
* Quality: "copper coin"
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== Table of results ==
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Turney, P.D. (2006). [http://arxiv.org/abs/cs.CL/0608100 Similarity of semantic relations]. ''Computational Linguistics'', 32 (3), 379-416.
 
Turney, P.D. (2006). [http://arxiv.org/abs/cs.CL/0608100 Similarity of semantic relations]. ''Computational Linguistics'', 32 (3), 379-416.
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== See also ==
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* [[Noun compound repository]]
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* [[Citations of the Diverse Noun Compound Dataset]]
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* [[SAT Analogy Questions]]
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[[Category:State of the art]]

Revision as of 14:58, 7 December 2007

  • 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"


Table of results

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