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Transfer Learning for Automatic Short Answer Grading

Roy, Shourya and Bhatt, Himanshu S and Narahari, Y (2016) Transfer Learning for Automatic Short Answer Grading. In: 22nd European Conference on Artificial Intelligence (ECAI), AUG 29-SEP 02, 2016, Hague, NETHERLANDS, pp. 1622-1623.

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Official URL: http://dx.doi.org/10.3233/978-1-61499-672-9-1622

Abstract

Automatic short answer grading (ASAG) is the task of automatically grading students answers which are a few words to a few sentences long. While supervised machine learning techniques (classification, regression) have been successfully applied for ASAG, they suffer from the constant need of instructor graded answers as labelled data. In this paper, we propose a transfer learning based technique for ASAG built on an ensemble of text classifier of student answers and a classifier using numeric features derived from various similarity measures with respect to instructor provided model answers. We present preliminary empirical results to demonstrate efficacy of the proposed technique.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Depositing User: Id for Latest eprints
Date Deposited: 03 Dec 2016 09:45
Last Modified: 03 Dec 2016 09:45
URI: http://eprints.iisc.ac.in/id/eprint/55369

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