Abstract. In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic ...
Computer-generated texts are yet far from human-generated ones. Along with the limited use of vocabulary and syntactic structures sent, their lack of creativeness and abstraction i...
The application of model-driven development facilitates faster and more flexible integration by separating system descriptions to different levels of abstraction. In crossorganisat...
This paper presents an unsupervised method for assembling semantic knowledge from a part-ofspeech tagged corpus using graph algorithms. The graph model is built by linking pairs o...
- Semantic processing represents the new challenge for all applications that require text understanding, as for instance Q/A. In this paper we will highlight the need to couple sta...