This paper describes experiments in the automatic construction of lexicons that would be useful in searching large document collections for text fragments that address a specific ...
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques app...
A generative statistical model of dependency syntax is proposed based on 'l'csniSre's classical theory. It provides a stochastic formalization of the original model...