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Thushari Atapattu
Thushari Atapattu
School of Computer Science, University of Adelaide
Verified email at adelaide.edu.au - Homepage
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Cited by
Cited by
Year
Categorizing the content of github readme files
GAA Prana, C Treude, F Thung, T Atapattu, D Lo
Empirical Software Engineering 24, 1296-1327, 2019
1402019
A comprehensive text analysis of lecture slides to generate concept maps
T Atapattu, K Falkner, N Falkner
Computers & Education 115, 96-113, 2017
642017
A systematic review on literature-based discovery: general overview, methodology, & statistical analysis
M Thilakaratne, K Falkner, T Atapattu
ACM Computing Surveys (CSUR) 52 (6), 1-34, 2019
542019
Detecting cognitive engagement using word embeddings within an online teacher professional development community
T Atapattu, M Thilakaratne, R Vivian, K Falkner
Computers & Education 140, 103594, 2019
482019
Topic-Wise Classification of MOOC Discussions: A Visual Analytics Approach.
T Atapattu, K Falkner, H Tarmazdi
International Educational Data Mining Society, 2016
442016
A framework for topic generation and labeling from MOOC discussions
T Atapattu, K Falkner
Proceedings of the third (2016) ACM conference on learning@ scale, 201-204, 2016
392016
A systematic review on literature-based discovery workflow
M Thilakaratne, K Falkner, T Atapattu
PeerJ Computer Science 5, e235, 2019
382019
Impact of lecturer’s discourse for students’ video engagement: Video learning analytics case study of moocs
T Atapattu, K Falkner
Journal of Learning Analytics 5 (3), 182–197-182–197, 2018
352018
Beyond accuracy: Assessing software documentation quality
C Treude, J Middleton, T Atapattu
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
242020
Automated extraction of semantic concepts from semi-structured data: Supporting computer-based education through the analysis of lecture notes
T Atapattu, K Falkner, N Falkner
Database and Expert Systems Applications: 23rd International Conference …, 2012
222012
Acquisition of Triples of Knowledge from Lecture Notes: A Natural Language Processing Approach
T Atapattu, K Falkner, N Falkner
7th International conference on Educational Data Mining (EDM), 193-196, 2014
202014
Discourse analysis to improve the effective engagement of MOOC videos
T Atapattu, K Falkner
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
192017
Educational question answering motivated by question-specific concept maps
T Atapattu, K Falkner, N Falkner
Artificial Intelligence in Education: 17th International Conference, AIED …, 2015
162015
Evaluation of Concept Importance in Concept Maps Mined from Lecture Notes - Computer Vs Human
NF Thushari Atapattu, Katrina Falkner
6th International Conference on Computer Supported Education (CSEDU 2014), 75-84, 2014
14*2014
What do linguistic expressions tell us about learners’ confusion? a domain-independent analysis in moocs
T Atapattu, K Falkner, M Thilakaratne, L Sivaneasharajah, R Jayashanka
IEEE Transactions on Learning Technologies 13 (4), 878-888, 2020
132020
An identification of learners' confusion through language and discourse analysis
T Atapattu, K Falkner, M Thilakaratne, L Sivaneasharajah, R Jayashanka
arXiv preprint arXiv:1903.03286, 2019
132019
Enhancing the identification of cyberbullying through participant roles
G Ratnayaka, T Atapattu, M Herath, G Zhang, K Falkner
arXiv preprint arXiv:2010.06640, 2020
112020
AdelaideCyC at SemEval-2020 task 12: Ensemble of classifiers for offensive language detection in social media
M Herath, T Atapattu, HA Dung, C Treude, K Falkner
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1516-1523, 2020
62020
Automatic detection of cross-disciplinary knowledge associations
M Thilakaratne, K Falkner, T Atapattu
Proceedings of ACL 2018, Student Research Workshop, 45-51, 2018
52018
Automated detection of cyberbullying against women and immigrants and cross-domain adaptability
T Atapattu, M Herath, G Zhang, K Falkner
arXiv preprint arXiv:2012.02565, 2020
42020
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