Irina Nikishina

Hi, I am Irina, a postdoctoral researcher working under the supervision of Prof. Chris Biemann. I work on the ACQuA-2.0 project, which aligns with my interests in semantics, argument mining, taxonomies, and knowledge graphs.  

I got my PhD n Computational and Data Science and Engineering at Skolkovo Institute of Science and Technology in September, 2022. I received my bachelor’s and master’s degree at the National Research University Higher School of Economics (NRU HSE).

During my PhD studies I organized a shared task on Taxonomy Enrichment (RUSSE’2020), helped with the RuArg-2022: Argument Mining Evaluation shared task, RUSSE’2022: the First Russian Detoxification Shared Task. Moreover, I am Chair of  International Conference on Analysis of Images, Social Networks and Texts (AIST) in the Network Analysis track. I also was a secretary of the organizing committee of the 9th and 10th AISTs in 2020 and 2021. I am also one of the co-founders of the RusNLP search engine for the Russian NLP conferences.

Personal links: Google Scholar, ORCID, GitHub

Publications

1. Nikishina, I., Bondarenko, A., Zaczek, S., Haag, O. L., Hagen, M., Biemann, C. (2024): Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection. RATIO 2024, Bielefled, Germany. (pdf)
2. Shallouf, A., Herasimchyk, H., Salnikov, M., Veliz, R., Mestvirishvili N., Panchenko, A., Biemann, C., Nikishina, I. (2024): CAM 2.0: End-to-End Open Domain Comparative Question Answering System. The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024, Torino, Italy) (pdf)
3. Moskvoretskii, V., Panchenko, A., Nikishina, I. (2024): Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning, The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024, Torino, Italy) (pdf)
4. Nikishina, I., Chernomorchenko, P., Demidova, A., Panchenko, A., Biemann, C. (2023): Predicting Terms in IS-A Relations with Pre-trained Transformers. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia. (pdf)
5. Maslova, M., Rebrikov, S., Artsishevski, A., Zaczek, S., Biemann C., Nikishina I. (2023): RuCAM: Comparative Argumentative Machine for the Russian Language. In Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST 2023), Yerevan, Armenia. LNCS, vol. 14486. Springer. (publishing in process)
6. Chernomorchenko, P., Panchenko, A., Nikishina I. (2023): Leveraging Taxonomic information from Large Language Models for Hyponymy Prediction. In Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST 2023), Yerevan, Armenia. LNCS, vol. 14486. Springer. (publishing in process)
7. Salnikov, M., Le, H., Rajput, P., Nikishina, I., Braslavski, P., Malykh, V., Panchenko, A. (2023): Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. The 37th Pacific Asia Conference on Language, Information and Computation, Hong Kong, China. (pdf)
8. Rouhizadeh, H., Nikishina, I., Yazdani, A., Bornet, A., Zhang, B., Ehrsam, J., Gaudet-Blavignac, C., Naderi, N., Teodoro D. (2023): BioWiC: An Evaluation Benchmark for Biomedical Concept Representation.(pdf)
9. Nikishina, I., Adrianov, I., Vakhitova, A., Panchenko, A. TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment. In: The 2nd Conference of the Asia- Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. (2022).
10. Nikishina, I., Vakhitova, A., Tutubalina, E., Panchenko, A. Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs. In: Proceedings
    of TextGraphs-16: Graph-based Methods for Natural Language Processing. (2022).
11. Kotelnikov, E., Loukashevich, N., Nikishina, I., Panchenko, A. RuArg-2022: Argument Mining Evaluation. In: Computational linguistics and intellectual technologies: Papers from the annual conference “Dialogue”. (2022).
12. Dementieva D., Logacheva, V., Nikishina, I., Fenogenova A., Dale, D., Krotova I., Semenov, N., Shavrina T., Panchenko, A. RUSSE-2022: Findings of the First Russian Detoxification Shared Task Based on Parallel Corpora. In: Computational linguistics and intellectual technologies: Papers from the annual conference “Dialogue”. (2022).
13. Logacheva, V., Dementieva D., Krotova I., Fenogenova A., Nikishina, I., Shavrina T., Panchenko, A. A Study on Manual and Automatic Evaluation for Text Style Transfer. In Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval), pages 90–101, Dublin, Ireland. Association for Computational Linguistics.
14. Nikishina, I., Tikhomirov M., Logacheva, V., Nazarov Yu., Panchenko, A., Loukashevich, N. Taxonomy Enrichment with Text and Graph Vector Representations. Semantic Web, vol. Pre-press, no. Pre-press, pp. 1-35, 2022. (Q1)
15. Safaryan, A., Filchenkov, P., Yan, W., Kutuzov A., Nikishina I. Semantic Recommendation System for Bilingual Corpus of Academic Papers. In proceedings of Analysis of Images, Social Networks and Texts. AIST 2020. (2021).
16. Nikishina, I., Loukashevich, N., Logacheva, V., Panchenko, A. Exploring Graph-based Representations for Taxonomy Enrichment for the Russian Language. South African Centre for Digital Language Resources (SADiLaR) Potchefstroom, South Africa (2021): 126.
17. Nikishina, I., Logacheva, V., Panchenko, A., Loukashevich, N. Studying Taxonomy Enrichment on Diachronic WordNet Versions. Proceedings of the 28th International Conference on Computational Linguistics. (2020). (core A)
18. Nikishina, I., Logacheva, V., Panchenko, A., Loukashevich, N. RUSSE’2020: Findings of the First Taxonomy Enrichment Task for the Russian Language. In: Computational linguistics and intellectual technologies: Papers from the annual conference “Dialogue”. (2020).
19. Sysoev A., Nikishina I. Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia. In proceedings of Analysis of Images, Social Networks and Texts. AIST 2019. (2019).
20. Kutuzov A., Nikishina I. Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences. In proceedings of Analysis of Images, Social Networks and Texts. AIST 2019. (2019).
21. Nikishina I., Sokolova I., Tikhomirov D., Bonch-Osmolovskaya A. Automatic Direct Speech Tagging in Russian Prose: Markup and Parser. – Dialogue Conference on Computational Linguistics and Intelligent Technologies, 2019. URL: http://www. dialog-21.ru/media/4657/dialogue.pdf
22. Sysoev A., Nikishina I. Smart Context Generation for Disambiguation to Wikipedia. Conference on Artificial Intelligence and Natural Language. – Springer, Cham, 2018. – P. 11-22.
23. Nikishina I., Bakarov A., Kutuzov A. (2018) RusNLP: Semantic Search Engine for Russian NLP Conferences. Papers. In: van der Aalst W. et al. (eds) Analysis of Images, Social Networks and Texts. AIST 2018. Lecture Notes in Computer Science, vol 11179. Springer, Cham
24. Bakarov A., Kutuzov A., Nikishina I. Russian Computational Linguistics: Topical Structure in 2007-2017 Conference Papers. – Dialogue Conference on Computational Linguistics and Intelligent Technologies, 2018.