In this paper we will present work carried out to scale up the system for text understanding called GETARUNS, and port it to be used in dialogue understanding. The current goal is that of extracting automatically argumentative information in order to build argumentative structure. The long term goal is using argumentative structure to produce automatic summarization of spoken dialogues. Very mu...

We present a comparative analysis of the performance of a statistics-based system for the formation of semantic groups of adjectives when various sources of linguistic knowledge are introduced. We identify four different types of slufllow linguistic knowledge that are applicable to this system, and we quantify the performance gained by incorporating each such knowledge module, We perform experi...

Abstract This paper argues, first, that the information problem poses a foundational challenge to mainstream semantics. It proposes, second, address this by drawing on notions from Kit Fine’s essentialist framework. More specifically, it claims can be avoided strengthening standard truth theories, employing an operator expressing notion of relative constitutive semantic requirement . As result,...