Publications

Latest publications

Victor Makarenkov and Yael Segalovitz - Sensing ambiguity in Henry James "The Turn of the Screw". arXiv preprint arXiv:2011.10832, 2020

Victor Makarenkov and Lior Rokach - Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet arXiv preprint arXiv:2009.07238, 2020

Publications from my PhD studies in the department of software and information systems engineering:

Victor Makarenkov, Lior Rokach, Bracha Shapira, Choosing the right word: Using bidirectional LSTM tagger for writing support systems, Engineering Applications of Artificial Intelligence, Volume 84, 2019, Pages 1-10, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2019.05.003.

Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach. Implicit dimension identification in user-generated text with LSTM networks, Information Processing & Management, Volume 56, Issue 5, 2019, Pages 1880-1893, ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2019.02.007.

Guy, I., Makarenkov, V., Hazon, N., Rokach, L., & Shapira, B. (2018, February). Identifying informational vs. conversational questions on community question answering archives. In Proceedings of the eleventh acm international conference on web search and data mining (pp. 216-224). ACM.

Makarenkov, V., Shapira, B., & Rokach, L. (2015, September). Theoretical categorization of query performance predictors. In Proceedings of the 2015 International Conference on The Theory of Information Retrieval (pp. 369-372). ACM.

PhD Thesis - Utilizing Recursive Neural Networks for Contextual Text Analysis.

Publications from my Masters degree in the department of computer science:

Makarenkov, V., Jelnov, P., Maraee, A., & Balaban, M. (2009, October). Finite satisfiability of class diagrams: practical occurrence and scalability of the FiniteSat algorithm. In Proceedings of the 6th International Workshop on Model-Driven Engineering, Verification and Validation (p. 1). ACM.

Maraee, A., Makarenkov, V., & Balaban, B. (2008). Efficient recognition and detection of finite satisfiability problems in uml class diagrams: Handling constrained generalization sets, qualifiers and association class constraints. MCCM08.