Catálogo de publicaciones - libros

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.

This paper presents a Conceptual Graph () framework to the Generation of Referring Expressions (). Employing Conceptual Graphs as the underlying formalism allows a new rigorous, semantically rich, approach to : the intended referent is indentified by a combination of facts that can be deduced in its presence but not if it would be absent. Since s allow a substantial generalisation of the GRE problem, we show how the resulting formalism can be used by a algorithm that uniquely to objects in the scene.