View source for JAIR Analogical Mapping (State of the art)

* 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.org/media/2693/live-2693-4214-jair.txt JAIR]
* task described [http://jair.org/papers/paper2693.html 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 ==

{| 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://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.55.1832&rep=rep1&type=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]]