Please use this identifier to cite or link to this item:
http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/9708
Title: | Computational Models of Summative and Formative Assessment of Short Text Answers |
Authors: | Sahu, Archana Lambodara |
Keywords: | Automatic short answer grading Topical similarity Relevance feedback Stacked ensemble Automated gap analysis |
Issue Date: | Sep-2020 |
Publisher: | IIT Kharagpur |
Gov't Doc #: | NB16794 |
URI: | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/9708 |
Appears in Collections: | Computational Models of Summative and Formative Assessment of Short Text Answers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NB16794_Abstract.pdf | 122.34 kB | Adobe PDF | View/Open | |
NB16794_Thesis.pdf Restricted Access | 3.89 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.