Задачи по разрешению неоднозначностей

Combining a naive Bayes classifier with the EM algorithm is one of the promising ap- proaches for making use of unlabeled data for disambiguation tasks when using local con- text …...

Supervised word sense disambiguation (WSD) systems are usually the best per- forming systems when evaluated on stan- dard benchmarks. However, these systems need annotated training data to function properly. While …...

AbstractSemantic text processing faces the challenge of defining the relation between lexical expressions and the world to which they make reference within a period of time. It is unclear whether …...

AbstractThis paper is about learning word representations using grammatical type information. We use the syntactic types of Combinatory Categorial Grammar to develop multilinear representations, i.e. maps with n arguments, for …...