activity
20012026
most citedThe Role of Conceptual Relations in Word Sense Disambiguation

13 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

Reasoning About Variability Models Through Network Analysis

Jose Manuel Sanchez, Miguel Angel Olivero, Ruben Heradio +2

Feature models are widely used to capture the configuration space of software systems. Although automated reasoning has been studied for detecting problematic features and supporti…

cs.SE2026

A Comparative Analysis of Backbone Algorithms for Configurable Software Systems

Luis Cambelo, Ruben Heradio, Jose-Miguel Horcas +2

The backbone of a Boolean formula is the set of literals that must be true in every assignment that satisfies the formula. This concept is fundamental to key operations on variabil…

cs.SE2009★ 8 cited

Inferring Information from Feature Diagrams to Product Line Economic Models

David Fernandez-Amoros, Ruben Heradio, Jose Antonio Cerrada

Existing economic models support the estimation of the costs and benefits of developing and evolving a Software Product Line (SPL) as compared to undertaking traditional software d…

cs.CL2009★ 1 cited

Word Sense Disambiguation Using English-Spanish Aligned Phrases over Comparable Corpora

David Fernandez-Amoros

In this paper we describe a WSD experiment based on bilingual English-Spanish comparable corpora in which individual noun phrases have been identified and aligned with their respec…

cs.CL2009★ 1 cited

Word Sense Disambiguation Based on Mutual Information and Syntactic Patterns

David Fernandez-Amoros

This paper describes a hybrid system for WSD, presented to the English all-words and lexical-sample tasks, that relies on two different unsupervised approaches. The first one selec…

cs.CL2009★ 1 cited

The Uned systems at Senseval-2

David Fernandez-Amoros, Julio Gonzalo, Felisa Verdejo

We have participated in the SENSEVAL-2 English tasks (all words and lexical sample) with an unsupervised system based on mutual information measured over a large corpus (277 millio…