Automatic assessment of learners responses has gained wider acceptance and popularity in recent times. Due to associated complexities of free text evaluation, the trend has gradually shifted towards close ended question which have their limitations. The current work proposes a rough set based strategy to augment automated free text evaluation system(s) using keyword and associated expression based technique. The proposed method uses human evaluated answers as training data and using Rough Set Theory, extracts information from them to be used in the shortlisting and weighing of keywords which are to be used in assessment. The results of the proposed technique outperforms the manual keyword selection and weight association and also higher correlation with human evaluators. © 2015 IEEE.

SANKHAYAN CHOUDHURI

Computer Science and Engineering

U K R CHAKRABORTY

D KONAR

S ROY

University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

&nbsp;

The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

&nbsp;

It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

Rough Set based keyword selection and weighing for textual answer evaluation

12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015

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 MSA on a scale [0, 1] with respect to the MSA 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 preexpression 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. © Springer International Publishing Switzerland 2014.

Smart Innovation, Systems and Technologies

A novel semantic similarity based technique for computer assisted automatic evaluation of textual answers

Logic, Thought and Action

From Computing with Numbers to Computing with Words — from Manipulation of Measurements to Manipulation of Perceptions

Discourse Processes

An introduction to latent semantic analysis

International Journal of Computer & Information Sciences

Rough sets

Journal	Data powered by Typeset12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015
Publisher	Data powered by TypesetInstitute of Electrical and Electronics Engineers Inc.