JAIR Analogical Mapping (State of the art)

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  • analogical mapping between two sets of words
  • 20 mapping problems: 10 science analogies, 10 common metaphors
  • typically about 7 words per set
  • available from JAIR
  • task described here
  • see also: Analogy (State of the art)

Sample question

Problem: Map {planet, attracts, revolves, sun, gravity, solar system, mass} to {revolves, atom, attracts, electromagnetism, nucleus, charge, electron}

Solution: {solar system -> atom, sun -> nucleus, planet -> electron, mass -> charge, attracts -> attracts, revolves -> revolves, gravity -> electromagnetism}

Table of results

Algorithm Reference for algorithm Reference for experiment Type Correct
LIN+POS Lin (1998) Turney (2008) WordNet-based 76.8%
human human Turney (2008) human 87.6%
LRME Turney (2008) Turney (2008) corpus-based 91.5%

References

Lin, D. (1998). An information-theoretic definition of similarity. Proceedings of the 15th International Conference on Machine Learning (ICML-98), Madison, WI, pp. 296-304.

Turney, P.D. (2008), The latent relation mapping engine: Algorithm and experiments, Journal of Artificial Intelligence Research (JAIR), 33, 615-655.