Difference between revisions of "JAIR Analogical Mapping (State of the art)"
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(Created page with "* analogical mapping between two sets of words * 20 mapping problems: 10 science analogies, 10 common metaphors * typically about 7 words per set * available from [http://jair...") |
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'''Solution:''' {solar system -> atom, sun -> nucleus, planet -> electron, mass -> charge, attracts -> attracts, revolves -> revolves, gravity -> electromagnetism} | '''Solution:''' {solar system -> atom, sun -> nucleus, planet -> electron, mass -> charge, attracts -> attracts, revolves -> revolves, gravity -> electromagnetism} | ||
+ | |||
+ | == Table of results == | ||
+ | |||
+ | {| border="1" cellpadding="5" cellspacing="1" width="100%" | ||
+ | |- | ||
+ | ! 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). [http://www.cs.ualberta.ca/~lindek/papers/sim.pdf 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), [http://jair.org/papers/paper2693.html The latent relation mapping engine: Algorithm and experiments], ''Journal of Artificial Intelligence Research (JAIR)'', 33, 615-655. | ||
+ | |||
+ | |||
+ | [[Category:State of the art]] | ||
+ | [[Category:Analogy]] |
Revision as of 13:58, 25 January 2017
- 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
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.