We consider methods for compressing parse trees, especially techniques based on statistical modeling. We regard a sequence of productions corresponding to a suffix of the path fr...
This paper considers network services that bind identifiers in the course of delivering messages, and also persistent, point-to-point connections made in the context of such bindin...
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive Bayes and decision tables can both be trained efficie...
In this paper, we propose the use of constraint logic programming as a way of modeling contextsensitive execution-times of program segments. The context-sensitive constraints are ...
This paper examines what kind of similarity between words can be represented by what kind of word vectors in the vector space model. Through two experiments, three methods for con...