We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
The paper presents a method for automatic detection of “non-trivial” word combinations in the text. It is based on automatic syntactic analysis. The method shows better precisi...
Alexander F. Gelbukh, Grigori Sidorov, Sang-Yong H...
This discussion paper describes a sequence of experiments with human subjects aimed at finding out how an nlg system should choose between the different forms of a gradable adjec...
Abstract. We present a new approach to the generation of referring expressions containing attributive, type and relational properties combined by conjunctions, disjunctions and neg...