Irina Nikishina

According to our database, Irina Nikishina authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Wiping out the limitations of Large Language Models - A Taxonomy for Retrieval Augmented Generation.

Mahei Manhai Li, Irina Nikishina, Özge Sevgili, Martin Semmann

CoRR, 2024

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks.

Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina

CoRR, 2024

Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection.

Irina Nikishina, Alexander Bondarenko, Sebastian Zaczek, Onno Lander Haag, Matthias Hagen, Chris Biemann

Proceedings of the Robust Argumentation Machines - First International Conference, 2024

Low-Resource Machine Translation through the Lens of Personalized Federated Learning.

Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CAM 2.0: End-to-End Open Domain Comparative Question Answering System.

Ahmad Shallouf, Hanna Herasimchyk, Mikhail Salnikov, Rudy Alexandro Garrido Veliz, Natia Mestvirishvili, Alexander Panchenko, Chris Biemann, Irina Nikishina

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning.

Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

On Improving Repository-Level Code QA for Large Language Models.

Jan Strich, Florian Schneider, Irina Nikishina, Chris Biemann

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks.

Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Large Language Models Meet Knowledge Graphs to Answer Factoid Questions.

Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Predicting Terms in IS-A Relations with Pre-trained Transformers.

Irina Nikishina, Polina Chernomorchenko, Anastasiia Demidova, Alexander Panchenko, Chris Biemann

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

RuCAM: Comparative Argumentative Machine for the Russian Language.

Maria Maslova, Stefan Rebrikov, Anton Artsishevski, Sebastian Zaczek, Chris Biemann, Irina Nikishina

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

Leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction.

Polina Chernomorchenko, Alexander Panchenko, Irina Nikishina

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022

Taxonomy enrichment with text and graph vector representations.

Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva, Yuriy Nazarov, Alexander Panchenko, Natalia V. Loukachevitch

Semantic Web, 2022

RuArg-2022: Argument Mining Evaluation.

Evgeny V. Kotelnikov, Natalia V. Loukachevitch, Irina Nikishina, Alexander Panchenko

CoRR, 2022

TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment.

Irina Nikishina, Ivan Andrianov, Alsu Vakhitova, Alexander Panchenko

Proceedings of 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

2021

Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions.

Irina Nikishina, Natalia V. Loukachevitch, Varvara Logacheva, Alexander Panchenko

Proceedings of the 11th Global Wordnet Conference, 2021

Taxonomy Enrichment with Text and Graph Vector Representation.

Irina Nikishina

Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020

RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language.

Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia V. Loukachevitch

CoRR, 2020

Studying Taxonomy Enrichment on Diachronic WordNet Versions.

Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia V. Loukachevitch

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantic Recommendation System for Bilingual Corpus of Academic Papers.

Anna Safaryan, Petr Filchenkov, Weijia Yan, Andrey Kutuzov, Irina Nikishina

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

2019

Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian.

Andrey Sysoev, Irina Nikishina

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences.

Andrey Kutuzov, Irina Nikishina

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018

RusNLP: Semantic Search Engine for Russian NLP Conference Papers.

Irina Nikishina, Amir Bakarov, Andrey Kutuzov

Proceedings of the Analysis of Images, Social Networks and Texts, 2018