Olha Kanishcheva

Researcher
Olha Kanishcheva, Ph.D.
  • CV

    Education

    • PhD in Computer Science, National Technical University “Kharkiv Polytechnic Institute”. Thesis: “Information and logical models of identification of knowledge in the automated information library systems”.
    • 2000–2006: MA in Mathematics Researches (System analysis and management). National Technical University “Kharkiv Polytechnic Institute”

    Work Experience

    • 2012–Present: Associate professor in Computer Science of the Intellectual Computer Systems Department, NTU “KhPI” , Kharkiv, Ukraine 
    • 2015–March 2016: Postdoctoral researcher, ComIn project
    • 2009–2011: Senior lecturer of the Intellectual Computer Systems Department, NTU “KhPI” , Kharkiv, Ukraine
    • 2006–2009: Lecturer of the Intellectual Computer Systems Department, NTU “KhPI” , Kharkiv, Ukraine

    Projects

    • 2016: MASTIS (Establishing Modern Master-level Studies in Information
      Systems, Erasmus+)
    • 2015: AComIn: Advanced Computing for Innovation (Bulgaria)
    • 2011–2013: «Models and methods development for Information Retrieval, Lexicographic and Knowledge-oriented Intellectual Systems»
    • 2012: «One-stage semantic analysis of non-literary texts» (Sumsung).
    • 2011: «Text mining and semantic search algorithms for economic problems» (Switzerland).
    • 2008–2010: «Mathematical Model and Methods Development to Solve the Tasks of Intellectual Data Processing»
  • Teaching, Publications & Presentations

    Teaching

    • Modeling of Language Processing
    • Natural Language Processing 

    Selected Publications

    2021

    • Y. Hlavcheva Language-independent features for authorship attribution on Ukrainian texts/ Glavchev, M., Bobicev, V., Kanishcheva, O. // CEUR Workshop Proceedings, 2021, 2833, pp. 134–143.
    • Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages / Jakub Piskorski, Bogdan Babych, Zara Kancheva, Olga Kanishcheva, Maria Lebedeva, Michał Marcińczuk, Preslav Nakov, Petya Osenova, Lidia Pivovarova, Senja Pollak, Pavel Přibáň, Ivaylo Radev, Marko Robnik-Sikonja, Vasyl Starko, Josef Steinberger, Roman Yangarber // Proceedings of the 8th
      Workshop on Balto-Slavic Natural Language Processing". Kiyv, Ukraine, April, 2021, pp. 122-133.
    • O. Cherednichenko. Readability evaluation for Ukrainian medicine corpus (UKRMED) / Cherednichenko, O., Kanishcheva, O. // Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference. Lviv, Ukraine, April 22-23, 2021, pp. 402-412.
    • Y. Hlavcheva. Identification of the author's idea based on the modified textrank method / Hlavcheva, Y., Kanishcheva, O., Vovk, M., Glavchev, M. // Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference. Lviv, Ukraine, April 22-23, 2021, pp. 118-128

    2020

    • O. Cherednichenko. Collection and Processing of a Medical Corpus in Ukrainian / Cherednichenko, O., Kanishcheva, O., Yakovleva O., Arkatov D. // Proceedings of the 4nd International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference. Lviv, Ukraine, April 23-24, 2020, pp. 272-282.
    • O. Cherednichenko. Developing the Key Attributes for Product Matching Based on the Item’s Image Tag Comparison / Cherednichenko, O., Yanholenko, O., Kanishcheva, O. // Proceedings of the Modern Machine Learning Technologies and Data Science Workshop 2020. Volume I: Main Conference. Lviv-Shatsk, Ukraine, June 2-3, 2020, pp. 272-282.
    • Y. Hlavcheva. The Reference Analysis as a Quality Characteristic of a Scientific Article/ Hlavcheva Y., Kanishcheva O. // Proceedings of the PhD Symposium at ICT in Education, Research, and Industrial Applications co-located with 16th International Conference "ICT in Education, Research, and Industrial Applications 2020" (ICTERI 2020). Kharkiv, Ukraine, October 06-10, 2020, pp. 17-18.
    • Y. Hlavcheva. Language-Independent Features for Authorship Attribution on Ukrainian Texts / Hlavcheva Y., Glavchev M., Bobicev V., Kanishcheva O. // Information Technology and Interactions (Satellite): Conference Proceedings, December 04, 2020, Kyiv, Ukraine / Taras
      Shevchenko National University of Kyiv and [etc]; Vitaliy Snytyuk (Editor). Kyiv: Stylos, 2020, pp. 29-30.
    • Kanishcheva O. NLP Technologies for Image Tag Core Creation / O. Kanishcheva // Knowledge, Language & Models. – Sofia : BAS, 2020. – С. 130-141.
    • O. Kanishcheva, G. Angelova, About Sense Disambiguation of Image Tags in Large Annotated Image Collections, Innovative Approaches and Solutions in Advanced Intelligent Systems, Volume 648 of the series Studies in Computational Intelligence, Springer, ISBN: doi> 10.1007/978-3-319-32207-0_9

    2019

    • V. Bobicev. Authorship Attribution in Scientific Publications / V. Bobicev, Y. Hlavcheva, O. Kanishcheva, V. Lazu // Proceedings of Corpora-2019 conference. Saint-Petersburg, Russia, pp. 174-181.

    2018

    • O. Cherednichenko. Studying items similarity for dependable buying on electronic marketplaces / Cherednichenko, O., Vovk, M., Kanishcheva, O., Godlevskyi, M. // Proceedings of the 2nd International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference Lviv, Ukraine, June 25-27, 2018, pp. 78-89.
    • Cherednichenko O., Vovk M., Kanishcheva O., Godlevskyi M. Towards Improving the Search Quality on the Trading Platforms, Information Systems: Research, Development, Applications, Education, Volume 333 of the series Lecture Notes in Business Information Processing, Springer, doi>
      10.1007/978-3-030-00060-8_2
    • Victoria Vysotska. Authorship Identification of the Scientific Text in Ukrainian with Using the Lingvometry Methods / Victoria Vysotska, Olga Kanishcheva, Yuliia Hlavcheva // Proceedings of the XIIIth International Scientific and Technical Conference CSIT 2018, 11-14 September 2018 Lviv, Ukraine, pp. 34-38.
    • O. Kanishcheva, I. Nokolova, G. Angelova, Evaluation of Automatic Tag Sense Disambiguation Using the MIRFLICKR Image Collection, Artificial Intelligence: Methodology, Systems, and Applications, Volume 11089 of the series Lecture Notes in Computer Science, Springer, pp. 60-72. doi> 10.1007/978-3-319-99344-7_6
    • N. Grabar. Multilingual aligned corpus with Ukrainian as the target language / Natalia Grabar, Olga Kanishcheva, Thierry Hamon // Proceedings of the SlaviCorp 2018, 24-26 September 2018 Prague, Czech Republic, pp. 53-56.
    • O. Kanishcheva. Image and Video Tag Aggregation / Kanishcheva, O., Sharonova, N. // Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018). Moscow, Russia, July 5-7, 2018, pp. 161-172.
    • O. Cherednichenko. Complex term identification for Ukrainian medical texts / Cherednichenko, O., Babkova, N., Kanishcheva, O. // Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018). Lviv, Ukraine, November 28-30, 2018, pp. 78-89.
    • Olga Kanishcheva. Method of Integration and Content Management of the Information Resources Network / Olga Kanishcheva, Victoria Vysotska, Lyubomyr Chyrun, Aleksandr Gozhyj // CSIT 2017: Advances in Intelligent Systems and Computing, 05-08 September 2017 Lviv, Ukraine, pp. 204-216.

    2017

    • Kanishcheva O. V. Rozrobka slovnyka WordNet-Affect dlia ukrajinskoji movy / О. В. Каніщева, К. А. Клименкова, К. В. Юр’єва // Міжнародна наукова конференція «Людина. Комп’ютер. Комунікація». – Львів : Видавництво Львівської політехніки, 2017. – С. 52-56.
    • Oleh Naum. Intellectual System Design for Content Formation / Oleh Naum, Lyubomyr Chyrun, Victoria Vysotska, Olga Kanishcheva // Proceedings of the XIIth International Scientific and Technical Conference CSIT 2017, 05-08 September 2017 Lviv, Ukraine, pp. 131-138.
    • Kanishcheva O. and V. Bobicev. Good News vs. Bad News: What are they talking about?, In: G. Angelova, K. Bontcheva, R. Mitkov (Еds.), Proceedings of the 11th International Conference on "Recent Advances in Natural Language Processing" RANLP 2017, 2-8 September 2017, Varna, Bulgaria, ISSN: 1313-8502, pp. 325-333. Available at http://lml.bas.bg/ranlp2017/RANLP2017_proceedings_draft_4.09.2017.pdfExternal link
    • Victoria Bobicev, Olga Kanishcheva and Olga Cherednichenko. Sentiment Analysis in the Ukrainian and Russian News. Proceedings of the 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kiev, Ukraine, 2017, pp. 1050-1055.

    2016

    • O. Kanishcheva, G. Angelova, S. G. Nikilov, Towards Translation of Tags in Large Annotated Image Collections, Artificial Intelligence: Methodology, Systems, and Applications, Volume 9883 of the series Lecture Notes in Computer Science, Springer, ISBN: 978-3-31944747-6, 2016, pp. 140-150. doi> 10.1007/978-3-319-44748-3_14

    2015

    • Kanishcheva, O. and G. Angelova. A Pipeline Approach to Image Auto-Tagging Refinement. In: Bădică C., Y. Manolopoulos, M. Coşulschi, G. Eleftherakis and F. Leon (Eds.) Proceedings of the 7th Balkan Conference on Informatics Conference, Craiova, Romania, ACM New York, NY, USA, 2015 doi>10.1145/2801081.2801108
    • Kanishcheva O. and G. Angelova. About Emotion Identification in Visual Sentiment Analysis, In: G. Angelova, K. Bontcheva, R. Mitkov (Еds.), Proceedings of the 10th International Conference on "Recent Advances in Natural Language Processing" RANLP 2015, 7-9 September 2015, Hissar, Bulgaria, ISSN: 1313-8502, pp. 258-265. http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdfExternal link
    • Van-Hieu Vu, Hai-Son Le, O. Kanishcheva and G. Angelova, Fine-tuning SIMPLE based Content Based Image Retrieval system, Proceedings of the 6th International Symposium on Information and Communication Technology (SoICT 2015), pp. 231–238. 03-05 December 2015, Hue, Vietnam. doi>10.1145/2833258.2833273