Learning Spatial Terms Without Explicit Negative Instances

TitleLearning Spatial Terms Without Explicit Negative Instances
Publication TypeTechnical Report
Year of Publication1990
AuthorsRegier, T.
Other Numbers621

A method is presented for learning to associate scenes with spatial terms, in the absence of explicit negative instances, using error back-propagation. A straightforward approach, in the learning of a given term, is to take all positive instances for any other term to be implicit negative instances for the term in question. While this approach is inadequate, a variation on it is shown to work well: error signals from implicit negative instances are attenuated, so that an implicit negative instance will have less effect on the network's weights than will a positive instance of the same error magnitude. It is also shown that "a priori" knowledge of which pairs of spatial terms are antonyms facilitates the learning process.

Bibliographic Notes

ICSI Technical Report TR-90-057

Abbreviated Authors

T. Regier

ICSI Publication Type

Technical Report