It is commonly acknowledged that we need to accept and handle uncertainty when reasoning with real world data. The most profoundly studied measure of uncertainty is the probability. However, the general feeling is that probability cannot express all types of…

Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how to modify our beliefs when we recieve new information. The main problem arises when the information is inconsistent with beliefs that represents our epistemic state.…

Descripción completa.

Short survey carried out at the beginning of the course in order to elicit information about the students' background, future prospects and knowledge of ICT.

This paper present the structure, function and performance of SPOST, a broad coverage, rule-based part-of-speech tagger developed as a component of the Pagnlyzer Spanish Analysis Component of the Pangloss Knowledge-based Machine Translation System. It also describes preparations for the general…

This paper presents an algorithm for identifying noun phrase antecedents of third person personal
pronouns, demonstrative pronouns, reflexive pronouns, and omitted pronouns (zero pronouns)
in unrestricted Spanish texts. We define a list of constraints and preferences for different types
of…

For most of us, the home is considered to be our castle: when we close the doors, it is our equivalent to pulling up the drawbridge, thereby retreating from the outside world. But more often, there is no retreat from…

This article explores the stylistic devices and narrative techniques that the late 19th-century
great American satirist employed to subvert and ridicule his contemporaries'
understanding of language and of its relationship to reality. According to Bierce, language
is not merely a…

Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of…

Most Natural Language Processing (NLP) systems traditionally use a sequential architecture that represents the classical linguistic levels (lexical-morphological, syntactical, semantic, etc.), but they claim for huge and monolithic modules, that make the backtracking among such modules difficult. By using a…