4 papers
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 #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis
Anna Glazkova
The paper describes a system developed for Task 1 at SMM4H 2023. The goal of the task is to automatically distinguish tweets that self-report a COVID-19 diagnosis (for example, a p…