Abstract
In this paper, a new approach to automatically assessing students’ short free-text answers is presented. It has been implemented into the multilingual web-based application called Willow. Willow is able to formulate a question (chosen randomly or according to the students’ personal features) and, to score the answer, written in Spanish or in English, by using a combination of shallow NLP techniques such as stemming, removal of closed-class words, word sense disambiguation or multiword term identification. Several experiments have been carried out to identify the best combination of techniques for each language to find the optimal configuration in each case.
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