Rui Correia
Rui Correia
Addresses: l2f www mail
Phone: +351-213-100-226 Fax: +351-213-145-843

INESC ID Information

  • Rui Pedro Santos Correia


    E-mail: rpdsc@ist.utl.pt
    Connection: FCT Scholarship Holder
    Academic Degree:
    Category:

Publications

International Journals

2013

  • Thomas Pellegrini, Rui Correia, Isabel Trancoso, Jorge Baptista, Nuno J. Mamede, Maxine Eskenazi, ASR-based exercises for listening comprehension practice in European Portuguese, Computer Speech and Language, doi: http://dx.doi.org/10.1016/j.csl.2013.02.004, February 2013

International Conferences

2012

  • Isabel Trancoso, Thomas Pellegrini, André Freire Silva, Rui Correia, Nuno J. Mamede, Jorge Baptista, Learning Portuguese with Speech Technologies, In IBERSPEECH 2012, pages 411-414, Demo paper, Madrid, Spain, November 2012
  • Rui Correia, Jorge Baptista, Maxine Eskenazi, Nuno J. Mamede, Maxine Eskenazi, Automatic Generation of Cloze Question Stems, In International Conference on Computational Processing of Portuguese (Propor 2012), Springer-Verlag, vol. 7243, series Lecture Notes in Artificial Intelligence, pages 168–178, Coimbra, Portugal, April 2012

2010

  • José Lopes, Isabel Trancoso, Rui Correia, Thomas Pellegrini, Hugo Meinedo, Nuno J. Mamede, Maxine Eskenazi, Multimedia Learning Materials, In IEEE Spoken Language Technology Workshop, IEEE, Berkeley, USA, December 2010
  • Rui Correia, Jorge Baptista, Nuno J. Mamede, Isabel Trancoso, Maxine Eskenazi, Automatic Generation of Cloze Question Distractors, In Second Language Studies: Acquisition, Learning, Education and Technology, SLaTE: the ISCA SIG on Speech and Language Technology in Edu, Waseda University, Tokyo, Japan, September 2010

Research Interests

  • Natural Language Processing
  • Computer Assisted Language Learning
  • Portuguese as Second Language Tutoring

Ongoing Projects


Masters Thesis

  • Automatic Question Generation for REAP.PT Tutoring System

Abstract. The present document is the follow up of a first porting task of the REAP system to European Portuguese focusing its attention in a suggested area for future work: Automatic Question Generation. To successfully accomplish this goal it is important to understand the requirements of the REAP system, in particular, and projects in the CALL (Computer Assisted Language Learning) area in general. When dealing with education and, specifically, vocabulary learning, the main requirements are objectivity and rigor. Integrating Automatic Question Generation feature in such a system demands for robust procedures and well-defined techniques that allow one to guarantee those qualities. This document will focus on what types of questions are relevant and capable of being automatically generated and what forms can those questions assume when presented to the student. On this basis, it is crucial to understand where the questions can extract their content from. In this way, three lexical resources will be described and discussed focusing on their possible contribute to this subject. A brief overview of the present REAP.PT architecture will demonstrate how the new features can be integrated in the system. Finally, ways to evaluate both the new features and the REAP.PT system as a whole will be discussed.

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