Learning word clusters from data types
Paolo Allegrini, Simonetta Montemagni⋄, Vito Pirrelli · 2000
The paper illustrates a linguistic knowledge acquisition model making use of data types, infinite memory, and an inferential mechanism for inducing new information from known data. The model is compared with standard stochastic methods applied to data tokens, and tested on a task of lexico-semantic classification.