26 citations · 32 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…