Abstract
We propose in this paper a unique approach for the automatic evaluation of free text answers. A question answering module has been developed for the evaluation of free text responses provided by the learner. The module is capable of automatically evaluating the free text response of the learner SA to a given question Q and its model text based answer MA on a scale [0, 1] with respect to the MA. This approach takes into consideration not only the important key-words but also stop words and the positional expressions present in the learners’ response. Here positional expression implies the pre-expression and post-expression appearing before and after a keyword in the learners’ response. The results obtained on using this approach are promising enough for investing into future efforts.
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© 2014 Springer International Publishing Switzerland
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Chakraborty, U.K., Roy, S., Choudhury, S. (2014). A Novel Semantic Similarity Based Technique for Computer Assisted Automatic Evaluation of Textual Answers. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 1. Smart Innovation, Systems and Technologies, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-07353-8_46
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DOI: https://doi.org/10.1007/978-3-319-07353-8_46
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07352-1
Online ISBN: 978-3-319-07353-8
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