SENSE (Self-Expanding linguistic knowledge base from Sense Elicitation) was a historically important natural language processing system particularly useful for word sense disambiguation.

SUSS (Sunderland University SENSEVAL System) was an algorithm for word sense disambiguation developed for the inaugural SENSEVAL event in 1998.

grling-sdm (graphical models for linguistic applications - supervised decomposable model search) was a system for assigning probabilistic classification to words developed for the 1998 SENSEVAL competition for word-sense disambiguation. Its selection approach also had applications to related natural language processing problems.

Wisdom was a word sense disambiguation system that participated in the 1998 SENSEVAL competition. It used a simple supervised learning algorithm, drawing on co-occurrence statistics.