The paper describes a novel methodology to compute stable models in Answer Set Programming. The proposed approach relies on a bottom-up computation that does not require a prelimin...
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-bas...
Database technology and the Structured Query Language (SQL) have grown enormously in recent years. Applications from different domains have different requirements for using databa...
The `Scrap your boilerplate' approach to generic programming allows the programmer to write generic functions that can traverse arbitrary data structures, and yet have type-s...