65 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Novosibirsk State UniversityRU5 papers
- Astrakhan Tatischev State UniversityRU3 papers
- Ariel UniversityIL2 papers
- Bashkir State UniversityRU2 papers
- Institute of Physics and TechnologyKZ2 papers
- Joint Institute for High TemperaturesRU2 papers
- Moscow Institute of Physics and TechnologyRU2 papers
- Ben-Gurion University of the NegevIL1 paper
- Finnish Meteorological InstituteFI1 paper
- Industrial University of TyumenRU1 paper
- Institute for Information Transmission ProblemsRU1 paper
- Institute for Molecular ScienceJP1 paper
10 papers · 1 filter
Evaluating LLM Prompts for Data Augmentation in Multi-label Classification of Ecological Texts
Anna Glazkova, Olga Zakharova
Large language models (LLMs) play a crucial role in natural language processing (NLP) tasks, improving the understanding, generation, and manipulation of human language across doma…
Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases
Anna Glazkova, Dmitry Morozov, Timur Garipov
Keyphrase selection is a challenging task in natural language processing that has a wide range of applications. Adapting existing supervised and unsupervised solutions for the Russ…
Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian
Anna Glazkova, Dmitry Morozov
Keyphrase selection plays a pivotal role within the domain of scholarly texts, facilitating efficient information retrieval, summarization, and indexing. In this work, we explored…
Cross-Domain Robustness of Transformer-based Keyphrase Generation
Anna Glazkova, Dmitry Morozov
Modern models for text generation show state-of-the-art results in many natural language processing tasks. In this work, we explore the effectiveness of abstractive text summarizat…
tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning
Anna Glazkova
The paper describes a transformer-based system designed for SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. The purpose of the task was to predict the intimacy of tweets…
Applying Transformer-based Text Summarization for Keyphrase Generation
Anna Glazkova, Dmitry Morozov
Keyphrases are crucial for searching and systematizing scholarly documents. Most current methods for keyphrase extraction are aimed at the extraction of the most significant words…
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection
Mikhail Kotyushev, Anna Glazkova, Dmitry Morozov
This paper describes our system for SemEval-2021 Task 5 on Toxic Spans Detection. We developed ensemble models using BERT-based neural architectures and post-processing to combine…
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
Anna Glazkova, Maksim Glazkov, Timofey Trifonov
The COVID-19 pandemic has had a huge impact on various areas of human life. Hence, the coronavirus pandemic and its consequences are being actively discussed on social media. Howev…
A Comparative Study of Feature Types for Age-Based Text Classification
Anna Glazkova, Yury Egorov, Maksim Glazkov
The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools. Firstly, developers of book recom…
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
Andrey Kutuzov, Maria Kunilovskaya
In this paper, we present a distributional word embedding model trained on one of the largest available Russian corpora: Araneum Russicum Maximum (over 10 billion words crawled fro…