Extending ontological categorization through a dual process conceptual architecture

In this work we present a hybrid knowledge representation system aiming at extending the representational and reasoning capabilities of classical ontologies by taking into account the theories of typicality in conceptual processing. The system adopts a categorization process inspired to the dual process theories and, from a representational perspective, is equipped with a heterogeneous knowledge base that couples conceptual spaces and ontological formalisms. The system has been experimentally assessed in a conceptual categorization task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially improves the representational and reasoning \ue2\u80\u9cconceptual\ue2\u80\u9d capabilities of standard ontology-based systems

Interpretation of noun phrases in intensional contexts

This paper presents a network formalism for representing the meaning of noun phrases occurring in the context of intensional verbs such as seek and want. The bltsic assurepriori is that an intermediate representation is usefal to carry out file interpretation process perspicuously. The proposed representation keeps apart de-re (transparent) and de-dicto readings, stating, by means of snitable ams and nodes, that in the first case there is a real countetpart of the described entity, whereas in the secolid case no snch counterpart exists. Moreover, the concept of relevance of the description is emphasized and the relationships betweea intensional contexts and the dicetomy existing between value-free and valuedeeded readings of definite descriptions is discussed. Finally, the impact of the intermediate representation on the discourse history is considered, in order to explain how such a representation accounts for the contextual data and updates them according to the informational contents of the sentence being analyzed

Natural Language Processing

The study of language is fascinating for a number of reasons. First of all, human languages are intimately connected to the knowledge of the world and to our living in the world. We are able to talk about the things we can touch, about things that happen, about our emotions, desires, sensations. Second, there are plenty of languages, each with their specific features, but all with a universal common basis. Third, language can be, and has been, studied from many perspectives, ranging from linguistics proper to psychology, from mathematics to philosophy, from computer science to biology. Finally, language has a lot of interesting and economically promising applications

Natural Language Processing

The study of language is fascinating for a number of reasons. First of all, human languages are intimately connected to the knowledge of the world and to our living in the world. We are able to talk about the things we can touch, about things that happen, about our emotions, desires, sensations. Second, there are plenty of languages, each with their specific features, but all with a universal common basis. Third, language can be, and has been, studied from many perspectives, ranging from linguistics proper to psychology, from mathematics to philosophy, from computer science to biology. Finally, language has a lot of interesting and economically promising applications

Dialog Modeling in an Agent-Based Framework

We describe an agent-based model of NL dialog, arguing that, by embedding a cooperation model in an agent architecture, the variability of dialog can be faced and linguistic phenomena can be modeled as general agent behavior. The coherence notion adopted in our model requires that the steps of a dialog contribute to the goals of the interactants; so, each turn is interpreted by matching its underlying (object level and metalevel) goals on the speakers' intentional models, to see if the turn contributes to their activities. This approach to dialog modeling allows us to interpret several apparently unrelated reactions to a turn. The architecture is based on a declarative representation of the knowledge about acting in order to satisfy a goal: metalevel operators describe recipes for plan formation and execution, while at the object level there are the domain and communicative actions. 1 Introduction Our aim is the development of an intelligent interface which can interact in a flexible ..