Publications

• Atapattu, T., Herath, M., Zhang, G., Falkner, K. Automatic Detection of Cyberbullying against Women and Immigrants and Cross-domain Adaptability, Australasian Language Technology Association 2020

• Ratnayaka, G., Atapattu, T., Herath, M., Zhang, G., Falkner, K. Enhancing the Identification of Cyberbullying through Participant Roles, Proccedings of the Workshop on Online Abuse and Harm at EMNLP 2020.

• Atapattu, T., Falkner, K., Thilakaratne, M., Sivaneasharajah, L., Jayashanka, R. What Do Linguistic Expressions Tell Us About Learners’ Confusion? A Domain-independent Analysis in MOOCs , IEEE Transactions on Learning Technologies, Sep 2020.

• Treude, C., Middleton, J. Atapattu, T. Beyond Accuracy: Assessing Software Documentation Quality . The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Nov 2020.

• Herath M., Atapattu, T., Dung, H., Treude, C., Falkner, K. AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media. International Workshop on Semantic Evaluation at COLING, Dec 2020

• Sivaneasharajah, L., Atapattu, T., Falkner, K. Linguistic Changes across Different User Roles in MOOCs: What do they tell us? 13th International Conference on Educational Data Mining (EDM), July 2020

• Thilakaratne, M., Falkner, K., Atapattu, T. Garbage in-garbage out? an empirical look at information richness of LBD input types . ACM/IEEE Joint conference on Digital Libraries, Aug 2020

• Thilakaratne, M., Falkner, K., Atapattu, T. Information extraction in digital libraries: first step towards portability of LBD workflow . ACM/IEEE Joint conference on Digital Libraries, Aug 2020

• Thilakaratne, M., Falkner, K., Atapattu, T. Connecting the dots: Hypothesis generation by leveraging semantic shifts , PAKDD 2020, Singapore.

• Thilakaratne, M., Falkner, K., Atapattu, T. A systematic review on literature-based discovery: General overview, methodology & statistical analysis , ACM Computing Surveys (CSUR), 129,  Dec 2019

• Thilakaratne, M., Falkner, K., Atapattu, T. A systematic review on literature-based discovery workflow , PeerJ Computer Science 5:e235, Nov 2019.

• Atapattu, T., Thilakaratne, M., Vivian, R., Falkner, K. Detecting Cognitive Engagement using Word Embeddings within an Online Teacher Professional Development Community , Computers and Education, Oct 2019.

• Sivaneasharajah, L., Atapattu, T., Falkner, K. Understanding student learning from discussion forums, Australian Learning Analytics Summer Institute, Nov 2019.

• Prana, G. A., Treude, C., Thung, F. Atapattu, T., Lo, D. Categorising the content of Github README files . Emprirical Software Engineering, September 2018

• Atapattu, T. & Falkner, K. Impact of Lecturer’s Discourse for Students’ Video Interactions: Video Learning Analytics Case Study of MOOCs , Journal of Learning Analytics, May 2018

• Thilakaratne, M., Falkner, K., Atapattu, T. Automatic Detection of Cross-Disciplinary Knowledge Associations.  Student Research Workshop of 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 2018

• Atapattu, T., Falkner, K. and Falkner, N. A Comprehensive text analysis of Lecture Slides to Generate Concept Maps. Computers & Education, 115, pp. 96-113, December 2017

• Atapattu, T., Falkner, K. Discourse analysis to improve the effective engagement of MOOC videos . Accepted for the 7th International Learning Analytics and Knowledge conference (LAK), Vancouver, BC, Canada, March 2017

• Atapattu, T., Falkner, K. and Tarmazdi, H. Topic-wise classification of MOOC discussions: A visual analytics approach  . Proceedings of the 9th International conference on Educational Data Mining (EDM), Raleigh, NC, USA, June 2016

• Atapattu, T., Falkner, K. A Framework for Topic Generation and Labeling from MOOC Discussions . Proceedings of the Third Annual ACM Conference on Learning at Scale (L@S), Edinburgh, Scotland, April 2016

• Atapattu, T., Falkner, K. and Falkner, N. Educational Question Answering Motivated by Question-specific Concept Maps . Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED), Madrid, Spain, June 2015 (Nominated for Best Paper Award)

• Atapattu, T., Falkner, K. and Falkner, N. Task-adapted Concept Map Scaffolding to Support Quizzes in an Online Environment . Proceedings of the 20th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), Vilnius, Lithuania, July 2015

• Atapattu, T., Falkner, K. and Falkner, N. An Evaluation Methodology for Concept Maps Mined from Lecture Notes: An Educational Perspective . Communications in Computer and Information Science (CCIS), 510, pp, 68-83, Springer International Publishing, 2015 (Book Chapter)

• Atapattu, T., Falkner, K. and Falkner, N. Acquisition of Triples of Knowledge from Lecture Notes: A Natural Language Processing approach . Proceedings of the 7th International conference on Educational Data Mining (EDM), London, July 2014

• Atapattu, T., Falkner, K. and Falkner, N. Evaluation of Concept Importance in Concept Maps Mined from Lecture Notes: Computer vs Human. Proceedings of the 6th International Conference on Computer Supported Education, Barcelona, Spain, April 2014 (Nominated for Best Student Paper Award)

• Atapattu, T. Automated Generation of Practice Questions from Semi-Structured Lecture Notes. ICER’ 12, Auckland, New Zealand, Sep 2012 (Doctoral abstract)

• Atapattu, T., Falkner, K. and Falkner, N. Automated Extraction of Semantic Concepts From Semi-Structured Data: Supporting Computer-based Education through the Analysis of Lecture Notes. Dexa 2012, Vienna, Austria, Sep 2012