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Jolanta MizeraPietraszko
Military University of Land Forces
Wroclaw, Poland

Jolanta Mizera-Pietraszko is an assistant professor on the Faculty of Mathematics, Physics and Computer Science, Opole University. Her research interests are mainly focused on computational linguistics, natural language processing, multilingual search engines, parallel languages, bi-text processing, bilingual question-answering systems, and multilingual digital libraries.

She invented a language and system-independent asymmetric translation technology called “An Approach to Analysis of Machine Translation Precision by Using Language Pair Phenomena” (invention number P387576, registered and published by the Patent Office of the Republic of Poland). She is a registered FP7 expert for the European Commission in Brussels; an expert in R&D projects for the Ministry of Science and Higher Education, National Center of R&D, Polish Agency of R&D; and an evaluator of English course books for the Ministry of Education. Also, as an advisor for the ministerial Center of Polish Education Development Abroad, she is responsible for teaching quality standards in Polish schools all over the world.

Under the ERASMUS program, she initiated and coordinated bilateral agreements between her university and Roskilde University, Denmark, and has extended student exchange with Las Palmas de Grand Canaria, Canary Islands, Spain. In addition, she reviews IT books for the British Computer Society. She is a fellow of the IEEE Technical Committee on Digital Libraries; Information Retrieval Facilities (Vienna, Austria); and the British Computer Society Information Retrieval Specialist Group (London, UK).

She has recently been invited to serve on international program committees of conferences in the UK, Czech Republic, India, and Poland. Her projects have received recognition from the university (five scholarships), the European Union, and scientific institutions abroad.


Emerging technologies in K–12 education: a future HCI research agenda
Van Mechelen M., Smith R., Schaper M., Tamashiro M., Bilstrup K., Lunding M., Petersen M., Iversen O. ACM Transactions on Computer-Human Interaction 30(3): 1-40, 2023.  Type: Article

Technologies like artificial intelligence (AI), virtual reality (VR), augmented reality (AR), machine learning (ML), and the Internet of Things (IoT) are becoming more and more popular, not only in academia but also in the classroom due to their s...


Profiles of separations: in graphs, matroids, and beyond
Diestel R., Hundertmark F., Lemanczyk S. Combinatorica 39(1): 37-75, 2019.  Type: Article

A matroid is a structure of finite nonempty sets of subsets that apply the hereditary property. Here, the authors deploy tree decomposition to distinguish the tangles of a finite graph or matroid. They also apply the Gomory-Hu theorem ...


Modeling information retrieval by formal logic: a survey
Abdulahhad K., Berrut C., Chevallet J., Pasi G. ACM Computing Surveys 52(1): 1-37, 2019.  Type: Article

As the title indicates, formal logic is used for modeling information retrieval (IR). Readers can expect a literature review (of IR models), supported with graphs, mathematical formulas, and examples that lead to some interesting concl...


Neural graph collaborative filtering
Wang X., He X., Wang M., Feng F., Chua T.  SIGIR 2019 (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, Jul 21-25, 2019) 165-174, 2019.  Type: Proceedings

Typically, collaborative filtering (CF) is simply a nearest neighbor (NN) algorithm used either in its original form or in machine learning (ML), especially in supervised learning, to predict user preferences in recommender systems. He...


 Natural language processing for social media (2nd ed.)
Farzindar A., Inkpen D., Cohen S., Morgan&Claypool Publishers, San Rafael, CA, 2018. 196 pp.  Type: Book (978-1-681736-12-9)

As social networks gain widespread popularity, they dominate all other forms of communication, particularly among youth (but of course not only). Perhaps this is because of real-time information and opinion exchange; another reason see...


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