Alexander Pugachev

According to our database, Alexander Pugachev authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links.

Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Igor Rozhkov, Artem Shelmanov, Elena Tutubalina, Alexey Yandutov

Lang. Resour. Evaluation, June, 2024

2023

Consumer Health Question Answering Using Off-the-Shelf Components.

Alexander Pugachev, Ekaterina Artemova, Alexander Bondarenko, Pavel Braslavski

Proceedings of the Advances in Information Retrieval, 2023

2022

Webis at TREC 2022: Deep Learning and Health Misinformation.

Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Alexander Pugachev, Jan Heinrich Reimer, Ferdinand Schlatt, Ekaterina Artemova, Martin Potthast, Benno Stein, Pavel Braslavski, Matthias Hagen

Proceedings of the Thirty-First Text REtrieval Conference, 2022

NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition.

Amina Miftahova, Alexander Pugachev, Artem Skiba, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Vladimir Ivanov

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021

NEREL: A Russian Dataset with Nested Named Entities and Relations.

Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina

CoRR, 2021

NEREL: A Russian Dataset with Nested Named Entities, Relations and Events.

Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020

Prediction of News Popularity via Keywords Extraction and Trends Tracking.

Alexander Pugachev, Anton Voronov, Ilya Makarov

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

2019

Sentence Embeddings for Russian NLU.

Dmitry Popov, Alexander Pugachev, Polina Svyatokum, Elizaveta Svitanko, Ekaterina Artemova

CoRR, 2019

Evaluation of Sentence Embedding Models for Natural Language Understanding Problems in Russian.

Dmitry Popov, Alexander Pugachev, Polina Svyatokum, Elizaveta Svitanko, Ekaterina Artemova

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