Short-answer grading using textual entailment-Reference-Cited by-同舟云学术

Short-answer grading using textual entailment

Published:2019-05-14 Issue:5 Volume:36 Page:4909-4919
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Basak Rohini¹,Naskar Sudip Kumar¹,Gelbukh Alexander²

Affiliation:

1. Jadavpur University, Kolkata, India

2. CIC, Instituto Polytéchnico Nacional, Mexico City, Mexico

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference14 articles.

1. Text-to-text semantic similarity for automatic short answer grading;Mohler;EACL: 12th Conference of the European Chapter of the ACL,2009

2. Learning to grade short answer questions using semantic similarity measures and dependency graph alignments;Mohler;HLT: 49th Annual Meeting of the ACL: Human Language Technologies,2011

3. Gomma W.H. and Fahmy A.A. , Short answer grading using string similarity and corpus-based similarity, International Journal of Advanced Computer Science and Applications 3(11) (2012).

4. Alotaibi S.T. and Mirza A.A. , Hybrid approach for automatic short answer marking, SWDSI: 43rd Annual Meeting of the Southwest Decision Sciences Institute, 2012.

5. Pulman S.G. and Sukkarieh J.Z. , Automatic short answer marking, EdAppsNLP:2ndWorkshop on Building Educational Applications Using NLP, 2005, pp. 9–16.

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1. An Ensemble-Based Model to Improve the Accuracy of Automatic Short Answer Grading;2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2022-05-08

2. Short Answer Marking Agent for GCSE Computer Science;2021 IEEE World Conference on Engineering Education (EDUNINE);2021-03-14

3. Automatic Short Answer Grading Using Corpus-Based Semantic Similarity Measurements;Advances in Intelligent Systems and Computing;2020-11-10

4. A Lexico-Syntactic-Semantic Approach to Recognizing Textual Entailment;Advances in Computational Intelligence and Robotics;2020