• A Proposal for word sense disambiguation using conceptual distance 

    Agirre, Eneko; Rigau Claramunt, German (1996-02-01)
    Report de recerca
    Accés obert
    This paper presents a method for the resolution of lexical ambiguity and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of ...
  • Boosting applied to word sense disambiguation 

    Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-01)
    Report de recerca
    Accés obert
    In this paper we apply Schapire and Singer's AdaBoost.MH boosting algorithm to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach ...
  • Context-aware machine translation for software localization 

    Muntés Mulero, Víctor; Paladini Adell, Patricia; España Bonet, Cristina; Màrquez Villodre, Lluís (2012)
    Comunicació de congrés
    Accés obert
    Software localization requires translating short text strings appearing in user interfaces (UI) into several languages. These strings are usually unrelated to the other strings in the UI. Due to the lack of semantic ...
  • Machine learning and natural language processing 

    Màrquez Villodre, Lluís (2000-07)
    Report de recerca
    Accés obert
    In this report, some collaborative work between the fields of Machine Learning (ML) and Natural Language Processing (NLP) is presented. The document is structured in two parts. The first part includes a superficial but ...
  • Multilingual evaluation of KnowNet 

    Cuadros Oller, Montserrat; Rigau Claramunt, German (2008)
    Article
    Accés obert
    Este artículo presenta un nuevo método totalmente automático de construcción de bases de conocimiento muy densas y precisas a partir de recursos semánticos preexistentes. Básicamente, el método usa un algoritmo de ...
  • Naive Bayes and exemplar-based approaches to word sense disambiguation revisited 

    Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-02)
    Report de recerca
    Accés obert
    This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar--based classification, on the Word Sense Disambiguation (WSD) problem. The aim of the ...
  • On the portability and tuning of supervised word sense disambiguation systems 

    Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-05)
    Report de recerca
    Accés obert
    This report describes a set of experiments carried out to explore the portability of alternative supervised Word Sense Disambiguation algorithms. The aim of the work is threefold: firstly, studying the performance of these ...
  • Word sense disambiguation using conceptual density 

    Agirre, Eneko; Rigau Claramunt, German (1996-01)
    Report de recerca
    Accés obert
    This paper presents a method for the resolution of lexical ambiguity and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of ...