Rui Correia: Difference between revisions

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* [[REAP.PT (Computer Aided Language Learning - Reading Practice)]] (FCT/CMU project)
* [[REAP.PT (Computer Aided Language Learning - Reading Practice)]] (FCT/CMU project)
== Publications ==
* Rui Correia, Jorge Baptista, Nuno Mamede, Isabel Trancoso, and Maxine Eskenazi. Automatic Generation of Cloze Question Distractors. In Second Language Studies: Acquisition, Learning, Education and Technology, Tokyo, Japan, September 2010


== Masters Thesis ==
== Masters Thesis ==

Revision as of 18:39, 15 September 2010

Rui Correia
Rui Correia

Research Interests

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

Ongoing Projects

Publications

  • Rui Correia, Jorge Baptista, Nuno Mamede, Isabel Trancoso, and Maxine Eskenazi. Automatic Generation of Cloze Question Distractors. In Second Language Studies: Acquisition, Learning, Education and Technology, Tokyo, Japan, September 2010

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.