Ara es mostren els items 39-46 de 46

    • The patents retrieval prototype in the MOLTO project 

      Chechev, Milen; González Bermúdez, Meritxell; Màrquez Villodre, Lluís; España Bonet, Cristina (ACM Press. Association for Computing Machinery, 2012)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper describes the patents retrieval prototype developed within the MOLTO project. The prototype aims to provide a multilingual natural language interface for querying the content of patent documents. The developed ...
    • The TALP-UPC approach to system selection: ASIYA features and pairwise classification using random forests 

      Formiga Fanals, Lluís; González Bermúdez, Meritxell; Barrón-Cedeño, Alberto; Rodríguez Fonollosa, José Adrián; Màrquez Villodre, Lluís (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper describes the TALP-UPC participation in the WMT’13 Shared Task on Quality Estimation (QE). Our participation is reduced to task 1.2 on System Selection. We used a broad set of features (86 for German-to-English ...
    • The TALP-UPC phrase-based translation systems for WMT13: system combination with morphology generation, domain adaptation and corpus filtering 

      Formiga Fanals, Lluís; Ruiz Costa-Jussà, Marta; Mariño Acebal, José Bernardo; Rodríguez Fonollosa, José Adrián; Barrón-Cedeño, Alberto; Màrquez Villodre, Lluís (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper describes the TALP participation in the WMT13 evaluation campaign. Our participation is based on the combination of several statistical machine translation systems: based on standard hrasebased Moses systems. ...
    • The UPC submission to the WMT 2012 shared task on quality estimation 

      Pighin, Daniele; González Bermúdez, Meritxell; Màrquez Villodre, Lluís (Association for Computational Linguistics, 2012)
      Comunicació de congrés
      Accés obert
      In this paper, we describe the UPC system that participated in the WMT 2012 shared task on Quality Estimation for Machine Translation. Based on the empirical evidence that fluencyrelated features have a very high ...
    • Towards learning a constraint grammar from annotated corpora using decision trees 

      Màrquez Villodre, Lluís; Rodríguez Hontoria, Horacio (1996-02)
      Report de recerca
      Accés obert
      Inside the framework of robust parsers for the syntactic analysis of unrestricted text, the aim of this work is the construction of a system capable of automatically learning Constraint Grammar rules from a POS annotated ...
    • tSEARCH: flexible and fast search over automatic translations for improved quality/error analysis 

      González Bermúdez, Meritxell; Mascarell, Laura; Màrquez Villodre, Lluís (2013)
      Comunicació de congrés
      Accés obert
      This work presents tSEARCH, a web-based application that provides mechanisms for doing complex searches over a collection of translation cases evaluated with a large set of diverse measures. tSEARCH uses the evaluation ...
    • UPC-CORE : What can machine translation evaluation metrics and Wikipedia do for estimating semantic textual similarity? 

      Barrón-Cedeño, Alberto; Màrquez Villodre, Lluís; Fuentes Fort, Maria; Rodríguez Hontoria, Horacio; Turmo Borras, Jorge (2013)
      Comunicació de congrés
      Accés obert
      In this paper we discuss our participation to the 2013 Semeval Semantic Textual Similarity task. Our core features include (i) a set of metrics borrowed from automatic machine translation, originally intended to evaluate ...
    • Using dependency parsing and machine learning for factoid question answering on spoken documents 

      Comas Umbert, Pere Ramon; Turmo Borras, Jorge; Màrquez Villodre, Lluís (2010)
      Comunicació de congrés
      Accés obert
      This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two approaches to answer extraction in question ...