Our goal is to build knowledge-based systems capable of answering a wide variety of questions, including questions that are unanticipated when the knowledge base is built. For sys...
Our fundamental objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow by proposing better an...
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
In this paper, we present a new approximation in Natural Language Processing (nlp) aimed at knowledge representation and acquisition using a formal syntactic frame. In practice, we...
This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...