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

  • E-assessment of relational database skills by means of LearnSQL 

    Quer Bosor, Maria Carme; Abelló Gamazo, Alberto; Burgués Illa, Xavier; Casany Guerrero, María José; Martín Escofet, Carme; Rodríguez González, M. Elena; Romero Moral, Óscar; Urpí Tubella, Antoni (International Association of Technology, Education and Development (IATED), 2017)
    Text en actes de congrés
    Accés obert
    LearnSQL is a software system that allows the automatic and efficient e-learning and e-assessment of relational database skills. It has been used at the Barcelona School of Informatics for 18 semesters with an average of ...
  • Semantic tagging of French medical entities using distant learning 

    Cotik, Viviana; Rodríguez Hontoria, Horacio; Vivaldi, Jorge (CEUR-WS.org, 2015)
    Comunicació de congrés
    Accés obert
    In this paper we present a semantic tagger aiming to detect relevant entities in French medical documents and tagging them with their appropriate semantic class. These experiments has been carried out in the framework ...
  • Semantic tagging and normalization of French medical entities 

    Cotik, Viviana; Rodríguez Hontoria, Horacio; Vivaldi, Jorge (CEUR-WS.org, 2016)
    Text en actes de congrés
    Accés obert
    In this paper we present two tools for facing task 2 in CLEF eHealth 2016. The first one is a semantic tagger aiming to detect relevant entities in French medical documents, tagging them with their appropriate ...
  • Generating domain-restricted resources for web interaction in several languages: hindi, english and spanish 

    Gatius Vila, Marta; Paliwal, Piyush (2013)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The aim of our research is to develop domain-restricted resources for web interaction supporting different languages: English, Hindi and Spanish. Many practical natural language systems use linguistic resources adapted to ...
  • Morphological Analysis of the Dravidian Language Family 

    Kumar, Arun; Cotterell, Ryan; Oliver González, Antoni; Padró, Lluís (2017)
    Comunicació de congrés
    Accés obert
    The Dravidian family is one of the most widely spoken set of languages in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for ...
  • El proyecto EDINSOST: Inclusión de los ODS en la educación superior 

    Sánchez Carracedo, Fermín; Segalàs Coral, Jorge; Cabré Garcia, José M.; Climent Vilaró, Joan; López Álvarez, David; Martín Escofet, Carme; Vidal López, Eva María (Universidad Autónoma de Madrid, 2017)
    Text en actes de congrés
    Accés obert
    En esta comunicación se presenta un mapa de la competencia Sostenibilidad fácilmente adaptable a cualquier titulación de educación superior. El mapa ha sido desarrollado dentro del proyecto EDINSOST, cuyo objetivo es la ...
  • 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 restringit per política de l'editorial
    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 restringit per política de l'editorial
    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 ...

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