El grup de processament del llenguatge natural inicia la seva activitat al 1988. Des dels seus orígens ha sigut un grup interdisciplinari (informàtica i llingüistica). Ha portat a terme una prolífica activitat en diverses àrees d'investigació dins de processament del llenguatge natural i la intel•ligència artificial. En el processament bàsic de la llengua destaquen els camps de desambiguació morfosintàctica, anàlisis sintàctica i semàntica, desambiguació semàntica, etc., amb especial èmfasi en l'aplicació de mètodes estadístics i d'aprenentatge automàtic per resoldre aquestes tasques. Així mateix, apart de la tecnologia bàsica, també s'aborden aplicacions de més alt nivell, com ara traducció automàtica, extracció d'informació, donar resposta a preguntes, resum automàtic, processament de diccionaris, de corpus textuals, i de recursos lingüístics en general.

http://futur.upc.edu/GPLN

The Natural Language Processing Group (GPLN) conducts research into the automatic processing of natural language, particularly those aspects related to the construction and exploitation of multilingual lexical resources and the extraction of information from documents written in natural language and summarisation. Within these research lines, the GPLN focuses its attention on developing language processing tools, such as morphological and syntactical analysers, grammatical labelers, corpus processing systems, and specific machine learning algorithms for natural language processing and on compiling linguistic resources, such as grammars, dictionaries and lexical and conceptual databases. The GPLN has also been working on natural language software specifications for the development of tools for the quality control of software. The GPLN collaborates with the Speech Processing Group in the research of oral translation and the development of dialogue systems.

http://futur.upc.edu/GPLN

The Natural Language Processing Group (GPLN) conducts research into the automatic processing of natural language, particularly those aspects related to the construction and exploitation of multilingual lexical resources and the extraction of information from documents written in natural language and summarisation. Within these research lines, the GPLN focuses its attention on developing language processing tools, such as morphological and syntactical analysers, grammatical labelers, corpus processing systems, and specific machine learning algorithms for natural language processing and on compiling linguistic resources, such as grammars, dictionaries and lexical and conceptual databases. The GPLN has also been working on natural language software specifications for the development of tools for the quality control of software. The GPLN collaborates with the Speech Processing Group in the research of oral translation and the development of dialogue systems.

http://futur.upc.edu/GPLN

Enviaments recents

  • Incremental learning fault detection algorithm based on hyperplane-distance 

    Ardakani, Mohammadhamed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Traditional methods for Fault Detection and Diagnosis (FDD) usually, consider that processes operate under a single steady condition, but because of several reasons (e.g.: equipment aging), operation conditions of ...
  • Kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes 

    Shokry, Ahmed; Ardakani, Mohammadhamed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Text en actes de congrés
    Accés obert
    This paper presents a hybrid approach to enhance the performance of the data-based Pattern Classification Techniques (PCTs) used for Fault Detection and Diagnosis (FDD) of nonlinear dynamic noisy processes. The method ...
  • Optimal features selection for designing a fault diagnosis system 

    Ardakani, Mohammadhamed; Askarian, Mahdieh; Shokry, Ahmed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Text en actes de congrés
    Accés obert
    Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ...
  • Improving automation standards via semantic modelling: Application to ISA88 

    Dombayci, Canan; Farreres de la Morena, Xavier; Rodríguez Hontoria, Horacio; Espuña Camarasa, Antonio; Graells Sobré, Moisès (2017-01-24)
    Article
    Accés restringit per política de l'editorial
    Standardization is essential for automation. Extensibility, scalability, and reusability are important features for automation software that rely in the efficient modelling of the addressed systems. The work presented here ...
  • Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia 

    Martín Muñoz, Mario; Béjar Alonso, Javier; Espósito, Gennaro; Catala Roig, Neus; Cortés García, Claudio Ulises; Viñas, Ferran; Tarragó Bofarull, Josep; Rojo, Emilio; Nowak, Rafal (Elsevier, 2016-08-02)
    Article
    Accés restringit per política de l'editorial
    The current wide access to data from different neuroimaging techniques has permitted to obtain data to explore the possibility of finding objective criteria that can be used for diagnostic purposes. In order to decide which ...
  • A learning tool to develop sustainable projects 

    Sánchez Carracedo, Fermín; Cabré Garcia, José M.; Alier Forment, Marc; Vidal López, Eva María; López Álvarez, David; Martín Escofet, Carme; García Almiñana, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Comunicació de congrés
    Accés obert
    This paper presents a tool developed to help engineers to design and develop sustainable projects. The tool has been designed to introduce and evaluate the sustainability of engineering projects in general, but here we ...
  • Towards automatic construction of domain ontologies: Application to ISA88 and assessment 

    Farreres de la Morena, Xavier; Graells Sobré, Moisès; Rodríguez Hontoria, Horacio; Espuña Camarasa, Antonio (2013)
    Report de recerca
    Accés obert
    Process Systems Engineering has shown a growing interest on ontologies to develop knowledge models, organize information, and produce software accordingly. Although software tools supporting the structure of ontologies ...
  • Combining Wikipedia and WordNet for improving domain terms compilation 

    Vivaldi, Jorge; Rodríguez Hontoria, Horacio; Rigau Claramunt, German (2013)
    Report de recerca
    Accés obert
    Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure ...
  • A Bootstrapping architecture for time expression recognition in unlabelled corpora via syntactic-semantic patterns 

    Poveda Poveda, Jordi; Surdeanu, Mihai; Turmo Borras, Jorge (2007-06)
    Report de recerca
    Accés obert
    In this paper we describe a semi-supervised approach to the extraction of time expression mentions in large unlabelled corpora based on bootstrapping. Bootstrapping techniques rely on a relatively small amount of initial ...
  • SVMTool: a general POS tagger generator based on support vector machines 

    Giménez Linares, Jesús Ángel; Màrquez Villodre, Lluís (2004-05-19)
    Report de recerca
    Accés obert
    This paper presents the SVMTool , a simple, flexible, effective and efficient part-of-speech tagger based on Support Vector Machines. The SVMTool offers a fairly good balance among these properties which make it really ...

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