Citation: Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 18, pages 355–358 (2019)
Abstract. This paper presents a system for automatic assessment of narrative answers using information retrieval algorithms. It is designed to help professors to evaluate the answers that they receive from their students. It is a Java application that communicates through a REST API. This REST API has at its core the Lucene library and exposes all the great functionalities that Lucene has. The application has one UI for the students and one UI for the professor. The student will select the professor, select the question, upload the answer and send it. The professor will evaluate the student answer using the algorithms that will be discussed in this paper. Also in this paper a series of experiments will be presented, and their result will give us a better understanding of the algorithms and have a taste of how they work.
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