NEREL: A Russian dataset with nested named entities, relations and events N Loukachevitch, E Artemova, T Batura, P Braslavski, I Denisov, V Ivanov, ... arXiv preprint arXiv:2108.13112, 2021 | 26 | 2021 |
Prediction of news popularity via keywords extraction and trends tracking A Pugachev, A Voronov, I Makarov Recent Trends in Analysis of Images, Social Networks and Texts: 9th …, 2021 | 10 | 2021 |
Consumer health question answering using off-the-shelf components A Pugachev, E Artemova, A Bondarenko, P Braslavski European Conference on Information Retrieval, 571-579, 2023 | 4 | 2023 |
NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links N Loukachevitch, E Artemova, T Batura, P Braslavski, V Ivanov, ... Language Resources and Evaluation, 1-37, 2023 | 2 | 2023 |
NamedEntityRangers at SemEval-2022 Task 11: Transformer-based approaches for multilingual complex named entity recognition A Miftahova, A Pugachev, A Skiba, E Artemova, T Batura, P Braslavski, ... Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | 2 | 2022 |
Evaluation of sentence embedding models for natural language understanding problems in Russian D Popov, A Pugachev, P Svyatokum, E Svitanko, E Artemova Analysis of Images, Social Networks and Texts: 8th International Conference …, 2019 | 2 | 2019 |
Webis at TREC 2022: Deep Learning and Health Misinformation A Bondarenko, M Fröbe, L Gienapp, A Pugachev, JH Reimer, F Schlatt, ... 31st Text REtrieval Conference. TREC, 500-338, 2022 | 1 | 2022 |
Sentence Embeddings for Russian NLU D Popov, A Pugachev, P Svyatokum, E Svitanko, E Artemova arXiv preprint arXiv:1910.13291, 2019 | | 2019 |
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events T Batura, P Braslavski, N Loukachevitch, E Tutubalina, S Manandhar, ... | | |