Abstract. This paper proposes an approach which utilizes natural language processing (NLP) and ontology knowledge to automatically denote the implicit semantics of textual requirem...
We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
Model-driven development depends on good initial models. Creating these models by hand is a challenging task, because of complex specification documents and change requests. We p...
We describe a system for automatic annotation of English text in the FrameNet standard. In addition to the conventional annotation of frame elements and their semantic roles, we a...
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...